--- _id: '44323' abstract: - lang: eng text: "Reading between the lines has so far been reserved for humans. The present dissertation addresses this research gap using machine learning methods.\r\nImplicit expressions are not comprehensible by computers and cannot be localized in the text. However, many texts arise on interpersonal topics that, unlike commercial evaluation texts, often imply information only by means of longer phrases. Examples are the kindness and the attentiveness of a doctor, which are only paraphrased (“he didn’t even look me in the eye”). The analysis of such data, especially the identification and localization of implicit statements, is a research gap (1). This work uses so-called Aspect-based Sentiment Analysis as a method for this purpose. It remains open how the aspect categories to be extracted can be discovered and thematically delineated based on the data (2). Furthermore, it is not yet explored how a collection of tools should look like, with which implicit phrases can be identified and thus made explicit\r\n(3). Last, it is an open question how to correlate the identified phrases from the text data with other data, including the investigation of the relationship between quantitative scores (e.g., school grades) and the thematically related text (4). Based on these research gaps, the research question is posed as follows: Using text mining methods, how can implicit rating content be properly interpreted and thus made explicit before it is automatically categorized and quantified?\r\nThe uniqueness of this dissertation is based on the automated recognition of implicit linguistic statements alongside explicit statements. These are identified in unstructured text data so that features expressed only in the text can later be compared across data sources, even though they were not included in rating categories such as stars or school grades. German-language physician ratings from websites in three countries serve as the sample domain. The solution approach consists of data creation, a pipeline for text processing and analyses based on this. In the data creation, aspect classes are identified and delineated across platforms and marked in text data. This results in six datasets with over 70,000 annotated sentences and detailed guidelines. The models that were created based on the training data extract and categorize the aspects. In addition, the sentiment polarity and the evaluation weight, i. e., the importance of each phrase, are determined. The models, which are combined in a pipeline, are used in a prototype in the form of a web application. The analyses built on the pipeline quantify the rating contents by linking the obtained information with further data, thus allowing new insights.\r\nAs a result, a toolbox is provided to identify quantifiable rating content and categories using text mining for a sample domain. This is used to evaluate the approach, which in principle can also be adapted to any other domain." author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting citation: ama: Kersting J. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München ; 2023. apa: Kersting, J. (2023). Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München . bibtex: '@book{Kersting_2023, place={Neubiberg}, title={Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining}, publisher={Universität der Bundeswehr München }, author={Kersting, Joschka}, year={2023} }' chicago: 'Kersting, Joschka. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 2023.' ieee: 'J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 2023.' mla: Kersting, Joschka. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München , 2023. short: J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining, Universität der Bundeswehr München , Neubiberg, 2023. date_created: 2023-05-02T12:54:00Z date_updated: 2023-07-03T12:29:50Z department: - _id: '579' - _id: '7' language: - iso: ger page: '208' place: Neubiberg project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication_status: published publisher: 'Universität der Bundeswehr München ' related_material: link: - relation: supplementary_material url: https://athene-forschung.unibw.de/145003 status: public supervisor: - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 title: Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining type: dissertation user_id: '58701' year: '2023' ... --- _id: '45882' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Henning full_name: Wachsmuth, Henning last_name: Wachsmuth citation: ama: 'Bäumer FS, Chen W-F, Geierhos M, Kersting J, Wachsmuth H. Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84. doi:10.5281/zenodo.8068456' apa: Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068456 bibtex: '@inbook{Bäumer_Chen_Geierhos_Kersting_Wachsmuth_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation}, volume={412}, DOI={10.5281/zenodo.8068456}, booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Bäumer, Frederik Simon and Chen, Wei-Fan and Geierhos, Michaela and Kersting, Joschka and Wachsmuth, Henning}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={65–84}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: 'Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting, and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068456.' ieee: 'F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.' mla: Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:10.5281/zenodo.8068456. short: 'F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.' date_created: 2023-07-07T07:29:13Z date_updated: 2023-07-07T11:20:52Z ddc: - '004' department: - _id: '7' - _id: '369' doi: 10.5281/zenodo.8068456 editor: - first_name: Claus-Jochen full_name: Haake, Claus-Jochen last_name: Haake - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm last_name: Meyer auf der Heide - first_name: Marco full_name: Platzner, Marco last_name: Platzner - first_name: Henning full_name: Wachsmuth, Henning last_name: Wachsmuth - first_name: Heike full_name: Wehrheim, Heike last_name: Wehrheim file: - access_level: open_access content_type: application/pdf creator: florida date_created: 2023-07-07T07:28:58Z date_updated: 2023-07-07T11:20:52Z file_id: '45883' file_name: B1-Chapter-SFB-Buch-Final.pdf file_size: 1342718 relation: main_file file_date_updated: 2023-07-07T11:20:52Z has_accepted_license: '1' intvolume: ' 412' language: - iso: eng oa: '1' page: 65-84 place: Paderborn project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets publisher: Heinz Nixdorf Institut, Universität Paderborn series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public title: Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation type: book_chapter user_id: '477' volume: 412 year: '2023' ... --- _id: '46205' abstract: - lang: eng text: We present a concept for quantifying evaluative phrases to later compare rating texts numerically instead of just relying on stars or grades. We achievethis by combining deep learning models in an aspect-based sentiment analysis pipeline along with sentiment weighting, polarity, and correlation analyses that combine deep learning results with metadata. The results provide new insights for the medical field. Our application domain, physician reviews, shows that there are millions of review texts on the Internet that cannot yet be comprehensively analyzed because previous studies have focused on explicit aspects from other domains (e.g., products). We identify, extract, and classify implicit and explicit aspect phrases equally from German-language review texts. To do so, we annotated aspect phrases representing reviews on numerous aspects of a physician, medical practice, or practice staff. We apply the best performing transformer model, XLM-RoBERTa, to a large physician review dataset and correlate the results with existing metadata. As a result, we can show different correlations between the sentiment polarity of certain aspect classes (e.g., friendliness, practice equipment) and physicians’ professions (e.g., surgeon, ophthalmologist). As a result, we have individual numerical scores that contain a variety of information based on deep learning algorithms that extract textual (evaluative) information and metadata from the Web. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In: Cuzzocrea A, Gusikhin O, Hammoudi S, Quix C, eds. Data Management Technologies and Applications. Vol 1860. Communications in Computer and Information Science. Springer Nature Switzerland; 2023:45-65. doi:10.1007/978-3-031-37890-4_3' apa: 'Kersting, J., & Geierhos, M. (2023). Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, & C. Quix (Eds.), Data Management Technologies and Applications (Vol. 1860, pp. 45–65). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37890-4_3' bibtex: '@inbook{Kersting_Geierhos_2023, place={Cham}, series={Communications in Computer and Information Science}, title={Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews}, volume={1860}, DOI={10.1007/978-3-031-37890-4_3}, booktitle={Data Management Technologies and Applications}, publisher={Springer Nature Switzerland}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Cuzzocrea, Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph}, year={2023}, pages={45–65}, collection={Communications in Computer and Information Science} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” In Data Management Technologies and Applications, edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, and Christoph Quix, 1860:45–65. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-37890-4_3.' ieee: 'J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in Data Management Technologies and Applications, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65.' mla: 'Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” Data Management Technologies and Applications, edited by Alfredo Cuzzocrea et al., vol. 1860, Springer Nature Switzerland, 2023, pp. 45–65, doi:10.1007/978-3-031-37890-4_3.' short: 'J. Kersting, M. Geierhos, in: A. Cuzzocrea, O. Gusikhin, S. Hammoudi, C. Quix (Eds.), Data Management Technologies and Applications, Springer Nature Switzerland, Cham, 2023, pp. 45–65.' date_created: 2023-07-28T15:03:14Z date_updated: 2023-07-28T15:11:10Z ddc: - '004' department: - _id: '579' doi: 10.1007/978-3-031-37890-4_3 editor: - first_name: Alfredo full_name: Cuzzocrea, Alfredo last_name: Cuzzocrea - first_name: Oleg full_name: Gusikhin, Oleg last_name: Gusikhin - first_name: Slimane full_name: Hammoudi, Slimane last_name: Hammoudi - first_name: Christoph full_name: Quix, Christoph last_name: Quix file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2023-07-28T15:10:48Z date_updated: 2023-07-28T15:10:48Z file_id: '46207' file_name: Kersting and Geierhos (2023), Kersting2023b.pdf file_size: 746336 relation: main_file success: 1 file_date_updated: 2023-07-28T15:10:48Z has_accepted_license: '1' intvolume: ' 1860' language: - iso: eng page: 45-65 place: Cham project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' publication: Data Management Technologies and Applications publication_identifier: isbn: - '9783031378898' - '9783031378904' issn: - 1865-0929 - 1865-0937 publication_status: published publisher: Springer Nature Switzerland series_title: Communications in Computer and Information Science status: public title: 'Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews' type: book_chapter user_id: '58701' volume: 1860 year: '2023' ... --- _id: '45863' abstract: - lang: eng text: "In the proposal for our CRC in 2011, we formulated a vision of markets for\r\nIT services that describes an approach to the provision of such services\r\nthat was novel at that time and, to a large extent, remains so today:\r\n„Our vision of on-the-fly computing is that of IT services individually and\r\nautomatically configured and brought to execution from flexibly combinable\r\nservices traded on markets. At the same time, we aim at organizing\r\nmarkets whose participants maintain a lively market of services through\r\nappropriate entrepreneurial actions.“\r\nOver the last 12 years, we have developed methods and techniques to\r\naddress problems critical to the convenient, efficient, and secure use of\r\non-the-fly computing. Among other things, we have made the description\r\nof services more convenient by allowing natural language input,\r\nincreased the quality of configured services through (natural language)\r\ninteraction and more efficient configuration processes and analysis\r\nprocedures, made the quality of (the products of) providers in the\r\nmarketplace transparent through reputation systems, and increased the\r\nresource efficiency of execution through reconfigurable heterogeneous\r\ncomputing nodes and an integrated treatment of service description and\r\nconfiguration. We have also developed network infrastructures that have\r\na high degree of adaptivity, scalability, efficiency, and reliability, and\r\nprovide cryptographic guarantees of anonymity and security for market\r\nparticipants and their products and services.\r\nTo demonstrate the pervasiveness of the OTF computing approach, we\r\nhave implemented a proof-of-concept for OTF computing that can run\r\ntypical scenarios of an OTF market. We illustrated the approach using\r\na cutting-edge application scenario – automated machine learning (AutoML).\r\nFinally, we have been pushing our work for the perpetuation of\r\nOn-The-Fly Computing beyond the SFB and sharing the expertise gained\r\nin the SFB in events with industry partners as well as transfer projects.\r\nThis work required a broad spectrum of expertise. Computer scientists\r\nand economists with research interests such as computer networks and\r\ndistributed algorithms, security and cryptography, software engineering\r\nand verification, configuration and machine learning, computer engineering\r\nand HPC, microeconomics and game theory, business informatics\r\nand management have successfully collaborated here." alternative_title: - Collaborative Research Centre 901 (2011 – 2023) author: - first_name: Claus-Jochen full_name: Haake, Claus-Jochen id: '20801' last_name: Haake - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm id: '15523' last_name: Meyer auf der Heide - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797 apa: Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797 bibtex: '@book{Haake_Meyer auf der Heide_Platzner_Wachsmuth_Wehrheim_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, volume={412}, DOI={10.17619/UNIPB/1-1797}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: 'Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1797.' ieee: 'C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.' mla: Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797. short: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim, On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023. date_created: 2023-07-05T07:16:51Z date_updated: 2023-08-29T06:44:36Z ddc: - '000' department: - _id: '7' doi: 10.17619/UNIPB/1-1797 file: - access_level: open_access content_type: application/pdf creator: ups date_created: 2023-07-05T07:15:55Z date_updated: 2023-07-05T07:19:14Z file_id: '45864' file_name: SFB-Buch-Final.pdf file_size: 15480050 relation: main_file file_date_updated: 2023-07-05T07:19:14Z has_accepted_license: '1' intvolume: ' 412' language: - iso: eng oa: '1' page: '247' place: Paderborn project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '82' name: 'SFB 901 - T: SFB 901 - Project Area T' - _id: '5' grant_number: '160364472' name: 'SFB 901 - A1: SFB 901 - Möglichkeiten und Grenzen lokaler Strategien in dynamischen Netzen (Subproject A1)' - _id: '7' grant_number: '160364472' name: 'SFB 901 - A3: SFB 901 - Der Markt für Services: Anreize, Algorithmen, Implementation (Subproject A3)' - _id: '8' grant_number: '160364472' name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen (Subproject A4)' - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '10' grant_number: '160364472' name: 'SFB 901 - B2: Konfiguration und Bewertung (B02)' - _id: '11' name: 'SFB 901 - B3: SFB 901 - Subproject B3' - _id: '12' name: 'SFB 901 - B4: SFB 901 - Subproject B4' - _id: '13' name: 'SFB 901 - C1: SFB 901 - Subproject C1' - _id: '14' grant_number: '160364472' name: 'SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen (Subproject C2)' - _id: '16' grant_number: '160364472' name: 'SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter Dienste in konfigurierbaren Rechenzentren (Subproject C4)' - _id: '17' name: 'SFB 901 - C5: SFB 901 - Subproject C5' - _id: '83' name: 'SFB 901 - T1: SFB 901 -Subproject T1' - _id: '84' name: 'SFB 901 - T2: SFB 901 -Subproject T2' publication_identifier: unknown: - 978-3-947647-31-6 publisher: Heinz Nixdorf Institut, Universität Paderborn series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public title: On-The-Fly Computing -- Individualized IT-services in dynamic markets type: book user_id: '477' volume: 412 year: '2023' ... --- _id: '33274' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Mei-Hua full_name: Chen, Mei-Hua last_name: Chen - first_name: Garima full_name: Mudgal, Garima last_name: Mudgal - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022). ; 2022:51-61.' apa: Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61. bibtex: '@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022, title={Analyzing Culture-Specific Argument Structures in Learner Essays}, booktitle={Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)}, author={Chen, Wei-Fan and Chen, Mei-Hua and Mudgal, Garima and Wachsmuth, Henning}, year={2022}, pages={51–61} }' chicago: Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing Culture-Specific Argument Structures in Learner Essays.” In Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022. ieee: W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61. mla: Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61. short: 'W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.' date_created: 2022-09-06T13:51:23Z date_updated: 2022-11-18T09:56:17Z department: - _id: '600' language: - iso: eng page: 51 - 61 project: - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' publication: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022) status: public title: Analyzing Culture-Specific Argument Structures in Learner Essays type: conference user_id: '477' year: '2022' ... --- _id: '32179' abstract: - lang: eng text: This work addresses the automatic resolution of software requirements. In the vision of On-The-Fly Computing, software services should be composed on demand, based solely on natural language input from human users. To enable this, we build a chatbot solution that works with human-in-the-loop support to receive, analyze, correct, and complete their software requirements. The chatbot is equipped with a natural language processing pipeline and a large knowledge base, as well as sophisticated dialogue management skills to enhance the user experience. Previous solutions have focused on analyzing software requirements to point out errors such as vagueness, ambiguity, or incompleteness. Our work shows how apps can collaborate with users to efficiently produce correct requirements. We developed and compared three different chatbot apps that can work with built-in knowledge. We rely on ChatterBot, DialoGPT and Rasa for this purpose. While DialoGPT provides its own knowledge base, Rasa is the best system to combine the text mining and knowledge solutions at our disposal. The evaluation shows that users accept 73% of the suggested answers from Rasa, while they accept only 63% from DialoGPT or even 36% from ChatterBot. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Mobeen full_name: Ahmed, Mobeen last_name: Ahmed - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Ahmed M, Geierhos M. Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In: Stephanidis C, Antona M, Ntoa S, eds. HCI International 2022 Posters. Vol 1580. Communications in Computer and Information Science (CCIS). Springer International Publishing; 2022:419--426. doi:10.1007/978-3-031-06417-3_56' apa: Kersting, J., Ahmed, M., & Geierhos, M. (2022). Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In C. Stephanidis, M. Antona, & S. Ntoa (Eds.), HCI International 2022 Posters (Vol. 1580, pp. 419--426). Springer International Publishing. https://doi.org/10.1007/978-3-031-06417-3_56 bibtex: '@inbook{Kersting_Ahmed_Geierhos_2022, place={Cham, Switzerland}, series={Communications in Computer and Information Science (CCIS)}, title={Chatbot-Enhanced Requirements Resolution for Automated Service Compositions}, volume={1580}, DOI={10.1007/978-3-031-06417-3_56}, booktitle={HCI International 2022 Posters}, publisher={Springer International Publishing}, author={Kersting, Joschka and Ahmed, Mobeen and Geierhos, Michaela}, editor={Stephanidis, Constantine and Antona, Margherita and Ntoa, Stavroula}, year={2022}, pages={419--426}, collection={Communications in Computer and Information Science (CCIS)} }' chicago: 'Kersting, Joschka, Mobeen Ahmed, and Michaela Geierhos. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” In HCI International 2022 Posters, edited by Constantine Stephanidis, Margherita Antona, and Stavroula Ntoa, 1580:419--426. Communications in Computer and Information Science (CCIS). Cham, Switzerland: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-06417-3_56.' ieee: 'J. Kersting, M. Ahmed, and M. Geierhos, “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions,” in HCI International 2022 Posters, vol. 1580, C. Stephanidis, M. Antona, and S. Ntoa, Eds. Cham, Switzerland: Springer International Publishing, 2022, pp. 419--426.' mla: Kersting, Joschka, et al. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” HCI International 2022 Posters, edited by Constantine Stephanidis et al., vol. 1580, Springer International Publishing, 2022, pp. 419--426, doi:10.1007/978-3-031-06417-3_56. short: 'J. Kersting, M. Ahmed, M. Geierhos, in: C. Stephanidis, M. Antona, S. Ntoa (Eds.), HCI International 2022 Posters, Springer International Publishing, Cham, Switzerland, 2022, pp. 419--426.' conference: end_date: 2022-07-01 location: Virtual name: 24th International Conference on Human-Computer Interaction (HCII 2022) start_date: 2022-06-26 date_created: 2022-06-27T09:27:06Z date_updated: 2022-11-28T13:22:16Z ddc: - '004' department: - _id: '579' doi: 10.1007/978-3-031-06417-3_56 editor: - first_name: Constantine full_name: Stephanidis, Constantine last_name: Stephanidis - first_name: Margherita full_name: Antona, Margherita last_name: Antona - first_name: Stavroula full_name: Ntoa, Stavroula last_name: Ntoa file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2022-11-28T13:21:32Z date_updated: 2022-11-28T13:21:32Z file_id: '34150' file_name: Kersting et al. (2022), Kersting2022.pdf file_size: 1153017 relation: main_file success: 1 file_date_updated: 2022-11-28T13:21:32Z has_accepted_license: '1' intvolume: ' 1580' keyword: - On-The-Fly Computing - Chatbot - Knowledge Base language: - iso: eng page: 419--426 place: Cham, Switzerland project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: HCI International 2022 Posters publication_identifier: isbn: - '9783031064166' - '9783031064173' issn: - 1865-0929 - 1865-0937 publication_status: published publisher: Springer International Publishing related_material: link: - relation: confirmation url: https://link.springer.com/chapter/10.1007/978-3-031-06417-3_56 series_title: Communications in Computer and Information Science (CCIS) status: public title: Chatbot-Enhanced Requirements Resolution for Automated Service Compositions type: book_chapter user_id: '58701' volume: 1580 year: '2022' ... --- _id: '31054' abstract: - lang: eng text: This paper aims at discussing past limitations set in sentiment analysis research regarding explicit and implicit mentions of opinions. Previous studies have regularly neglected this question in favor of methodical research on standard-datasets. Furthermore, they were limited to linguistically less-diverse domains, such as commercial product reviews. We face this issue by annotating a German-language physician review dataset that contains numerous implicit, long, and complex statements that indicate aspect ratings, such as the physician’s friendliness. We discuss the nature of implicit statements and present various samples to illustrate the challenge described. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer citation: ama: 'Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In: Kersting J, ed. Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications. IARIA; 2022:5-9.' apa: 'Kersting, J., & Bäumer, F. S. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications (pp. 5–9). IARIA.' bibtex: '@inproceedings{Kersting_Bäumer_2022, place={Barcelona, Spain}, title={Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis}, booktitle={Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications}, publisher={IARIA}, author={Kersting, Joschka and Bäumer, Frederik Simon}, editor={Kersting, Joschka}, year={2022}, pages={5–9} }' chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, edited by Joschka Kersting, 5–9. Barcelona, Spain: IARIA, 2022.' ieee: 'J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis,” in Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, Barcelona, Spain, 2022, pp. 5–9.' mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.' short: 'J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.' conference: location: Barcelona, Spain name: The Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022) start_date: 2022-03 date_created: 2022-05-04T08:12:09Z date_updated: 2022-12-01T13:40:11Z ddc: - '006' editor: - first_name: Joschka full_name: Kersting, Joschka last_name: Kersting file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2022-12-01T13:39:48Z date_updated: 2022-12-01T13:39:48Z file_id: '34172' file_name: Kersting & Bäumer (2022), Kersting2022.pdf file_size: 155548 relation: main_file success: 1 file_date_updated: 2022-12-01T13:39:48Z has_accepted_license: '1' keyword: - Sentiment analysis - Natural language processing - Aspect phrase extraction language: - iso: eng page: 5-9 place: Barcelona, Spain project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications' publication_status: published publisher: IARIA status: public title: 'Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis' type: conference user_id: '58701' year: '2022' ... --- _id: '31068' author: - first_name: Mei-Hua full_name: Chen, Mei-Hua last_name: Chen - first_name: Garima full_name: Mudgal, Garima last_name: Mudgal - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: EUROCALL. ; 2022.' apa: Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL. bibtex: '@inproceedings{Chen_Mudgal_Chen_Wachsmuth_2022, title={Investigating the argumentation structures of EFL learners from diverse language backgrounds}, booktitle={EUROCALL}, author={Chen, Mei-Hua and Mudgal, Garima and Chen, Wei-Fan and Wachsmuth, Henning}, year={2022} }' chicago: Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” In EUROCALL, 2022. ieee: M.-H. Chen, G. Mudgal, W.-F. Chen, and H. Wachsmuth, “Investigating the argumentation structures of EFL learners from diverse language backgrounds,” 2022. mla: Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022. short: 'M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.' date_created: 2022-05-05T07:50:21Z date_updated: 2022-05-09T14:58:39Z department: - _id: '600' language: - iso: eng project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: EUROCALL status: public title: Investigating the argumentation structures of EFL learners from diverse language backgrounds type: conference_abstract user_id: '82920' year: '2022' ... --- _id: '29000' abstract: - lang: eng text: "This thesis aims to provide a bidirectional chatbot solution for the requirement engineering process. The Sonderforschungsbereich (SFB) 901 intends to provide the composition of software service On-the-Fly (OTF). The sub-project (B1) of the SFB 901 project deals with the parameters of service configuration. OTF Computing aims to eradicate the dependency on the requirement engineers for the software development process. However, there is no existing bidirectional chatbot solution that analyses user software requirements and provides viable suggestions to the user regarding their service. Previously, CORDULA chatbot was developed to analyze the software requirements but cannot keep the conversation’s context. The Rasa framework is integrated with the knowledge base to solve the issue, the knowledge base provides domain-specific knowledge to the chatbot. The software description is passed through the natural language understanding process to give consciousness to the chatbot. This process involves various machine learning models, including app family classification, to correctly identify the domain for user OTF service. The statistical models like naïve Bayes, kNN and SVM are compared with transformer models for this classification task. Furthermore, the entities (functional requirements) are also separated from the user description.\r\nThe chatbot provides the suggestion of requirements from the preliminary service template with the support of the knowledge base. Furthermore, the generated response is compared with the state-of-the-art DialoGPT transformer model and ChatterBot conversational library. These models are trained over the software development related conversational dataset. All the responses are ranked using the DialoRPT model, and the BLEU score to evaluates the models’ responses. Moreover, the chatbot mod- els are tested with human participants, they used and scored the chatbot responses based on effectiveness, efficiency and satisfaction. The overall response accuracy is also measured by averaging the user approval over the generated responses." author: - first_name: Mobeen full_name: Ahmed, Mobeen last_name: Ahmed citation: ama: Ahmed M. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing.; 2022. apa: Ahmed, M. (2022). Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing. bibtex: '@book{Ahmed_2022, title={Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing}, author={Ahmed, Mobeen}, year={2022} }' chicago: Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing, 2022. ieee: M. Ahmed, Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing. 2022. mla: Ahmed, Mobeen. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing. 2022. short: M. Ahmed, Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing, 2022. date_created: 2021-12-16T15:13:07Z date_updated: 2023-05-02T13:25:45Z ddc: - '004' department: - _id: '600' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2023-05-02T13:25:27Z date_updated: 2023-05-02T13:25:27Z file_id: '44325' file_name: Thesis-Report-MOBEEN-AHMED-6856465-Knowledge_Base_Enhanced___User_centric_Dialogue_Design_for_OTFComputing.pdf file_size: 3092211 relation: main_file success: 1 file_date_updated: 2023-05-02T13:25:27Z has_accepted_license: '1' language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication_status: published status: public supervisor: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting title: Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing type: mastersthesis user_id: '58701' year: '2022' ... --- _id: '45790' author: - first_name: Juela full_name: Palushi, Juela last_name: Palushi citation: ama: Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks.; 2022. apa: Palushi, J. (2022). Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks. bibtex: '@book{Palushi_2022, title={Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks}, author={Palushi, Juela}, year={2022} }' chicago: Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022. ieee: J. Palushi, Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks. 2022. mla: Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks. 2022. short: J. Palushi, Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022. date_created: 2023-06-27T12:57:57Z date_updated: 2023-07-05T07:31:17Z department: - _id: '600' language: - iso: eng project: - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' status: public supervisor: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth title: Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks type: bachelorsthesis user_id: '477' year: '2022' ... --- _id: '45789' author: - first_name: Vinaykumar full_name: Budanurmath, Vinaykumar last_name: Budanurmath citation: ama: Budanurmath V. Propaganda Technique Detection Using Connotation Frames.; 2022. apa: Budanurmath, V. (2022). Propaganda Technique Detection Using Connotation Frames. bibtex: '@book{Budanurmath_2022, title={Propaganda Technique Detection Using Connotation Frames}, author={Budanurmath, Vinaykumar}, year={2022} }' chicago: Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames, 2022. ieee: V. Budanurmath, Propaganda Technique Detection Using Connotation Frames. 2022. mla: Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames. 2022. short: V. Budanurmath, Propaganda Technique Detection Using Connotation Frames, 2022. date_created: 2023-06-27T12:56:04Z date_updated: 2023-07-05T07:33:45Z department: - _id: '600' language: - iso: eng project: - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' status: public supervisor: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth title: Propaganda Technique Detection Using Connotation Frames type: mastersthesis user_id: '477' year: '2022' ... --- _id: '26049' abstract: - lang: eng text: 'Content is the new oil. Users consume billions of terabytes a day while surfing on news sites or blogs, posting on social media sites, and sending chat messages around the globe. While content is heterogeneous, the dominant form of web content is text. There are situations where more diversity needs to be introduced into text content, for example, to reuse it on websites or to allow a chatbot to base its models on the information conveyed rather than of the language used. In order to achieve this, paraphrasing techniques have been developed: One example is Text spinning, a technique that automatically paraphrases text while leaving the intent intact. This makes it easier to reuse content, or to change the language generated by the bot more human. One method for modifying texts is a combination of translation and back-translation. This paper presents NATTS, a naive approach that uses transformer-based translation models to create diversified text, combining translation steps in one model. An advantage of this approach is that it can be fine-tuned and handle technical language.' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon last_name: Bäumer - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Sergej full_name: Denisov, Sergej last_name: Denisov - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021. IADIS; 2021:221--225.' apa: 'Bäumer, F. S., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225.' bibtex: '@inproceedings{Bäumer_Kersting_Denisov_Geierhos_2021, title={IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021}, publisher={IADIS}, author={Bäumer, Frederik Simon and Kersting, Joschka and Denisov, Sergej and Geierhos, Michaela}, year={2021}, pages={221--225} }' chicago: 'Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225. IADIS, 2021.' ieee: 'F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, Lisbon, Portugal, 2021, pp. 221--225.' mla: 'Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.' short: 'F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.' conference: end_date: 15.10.2021 location: Lisbon, Portugal name: 18th International Conference on Applied Computing start_date: 13.10.2021 date_created: 2021-10-11T15:26:58Z date_updated: 2022-01-06T06:57:16Z ddc: - '000' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2021-10-15T15:54:41Z date_updated: 2021-10-15T15:54:41Z file_id: '26282' file_name: Bäumer et al. (2021), Baeumer2021.pdf file_size: 411667 relation: main_file success: 1 file_date_updated: 2021-10-15T15:54:41Z has_accepted_license: '1' keyword: - Software Requirements - Natural Language Processing - Transfer Learning - On-The-Fly Computing language: - iso: eng page: 221--225 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021 publisher: IADIS status: public title: 'IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING' type: conference user_id: '58701' year: '2021' ... --- _id: '17905' abstract: - lang: eng text: 'This chapter concentrates on aspect-based sentiment analysis, a form of opinion mining where algorithms detect sentiments expressed about features of products, services, etc. We especially focus on novel approaches for aspect phrase extraction and classification trained on feature-rich datasets. Here, we present two new datasets, which we gathered from the linguistically rich domain of physician reviews, as other investigations have mainly concentrated on commercial reviews and social media reviews so far. To give readers a better understanding of the underlying datasets, we describe the annotation process and inter-annotator agreement in detail. In our research, we automatically assess implicit mentions or indications of specific aspects. To do this, we propose and utilize neural network models that perform the here-defined aspect phrase extraction and classification task, achieving F1-score values of about 80% and accuracy values of more than 90%. As we apply our models to a comparatively complex domain, we obtain promising results. ' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In: Loukanova R, ed. Natural Language Processing in Artificial Intelligence -- NLPinAI 2020. Vol 939. Studies in Computational Intelligence (SCI). Cham: Springer; 2021:163--189. doi:10.1007/978-3-030-63787-3_6' apa: 'Kersting, J., & Geierhos, M. (2021). Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020 (Vol. 939, pp. 163--189). Cham: Springer. https://doi.org/10.1007/978-3-030-63787-3_6' bibtex: '@inbook{Kersting_Geierhos_2021, place={Cham}, series={Studies in Computational Intelligence (SCI)}, title={Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks}, volume={939}, DOI={10.1007/978-3-030-63787-3_6}, booktitle={Natural Language Processing in Artificial Intelligence -- NLPinAI 2020}, publisher={Springer}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Loukanova, RoussankaEditor}, year={2021}, pages={163--189}, collection={Studies in Computational Intelligence (SCI)} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” In Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova, 939:163--189. Studies in Computational Intelligence (SCI). Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-63787-3_6.' ieee: 'J. Kersting and M. Geierhos, “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks,” in Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, vol. 939, R. Loukanova, Ed. Cham: Springer, 2021, pp. 163--189.' mla: Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, edited by Roussanka Loukanova, vol. 939, Springer, 2021, pp. 163--189, doi:10.1007/978-3-030-63787-3_6. short: 'J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, Cham, 2021, pp. 163--189.' date_created: 2020-08-13T09:29:52Z date_updated: 2022-01-06T06:53:23Z ddc: - '000' department: - _id: '579' doi: 10.1007/978-3-030-63787-3_6 editor: - first_name: Roussanka full_name: Loukanova, Roussanka last_name: Loukanova file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2021-04-08T08:14:05Z date_updated: 2021-04-08T08:14:05Z file_id: '21594' file_name: Kersting-Geierhos2021_Chapter_TowardsAspectExtractionAndClas.pdf file_size: 512065 relation: main_file success: 1 file_date_updated: 2021-04-08T08:14:05Z has_accepted_license: '1' intvolume: ' 939' language: - iso: eng page: '163--189 ' place: Cham project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Natural Language Processing in Artificial Intelligence -- NLPinAI 2020 publication_identifier: unknown: - 978-3-030-63786-6 ; 978-3-030-63787-3 publication_status: published publisher: Springer series_title: Studies in Computational Intelligence (SCI) status: public title: Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks type: book_chapter user_id: '58701' volume: 939 year: '2021' ... --- _id: '22051' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations. In: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021). SCITEPRESS; 2021:275--284.' apa: 'Kersting, J., & Geierhos, M. (2021). Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations. Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), 275--284.' bibtex: '@inproceedings{Kersting_Geierhos_2021, place={Online}, title={Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations}, booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2021}, pages={275--284} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” In Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), 275--284. Online: SCITEPRESS, 2021.' ieee: 'J. Kersting and M. Geierhos, “Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations,” in Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), Online, 2021, pp. 275--284.' mla: 'Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, 2021, pp. 275--284.' short: 'J. Kersting, M. Geierhos, in: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, Online, 2021, pp. 275--284.' conference: end_date: 2021-07-08 location: Online name: 10th International Conference on Data Science, Technology and Applications (DATA 2021) start_date: 2021-07-06 date_created: 2021-05-07T16:27:27Z date_updated: 2022-01-06T06:55:23Z department: - _id: '579' language: - iso: eng page: 275--284 place: Online project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021) publication_status: published publisher: SCITEPRESS status: public title: 'Well-being in Plastic Surgery: Deep Learning Reveals Patients'' Evaluations' type: conference user_id: '58701' year: '2021' ... --- _id: '22052' abstract: - lang: eng text: In this study, we describe a text processing pipeline that transforms user-generated text into structured data. To do this, we train neural and transformer-based models for aspect-based sentiment analysis. As most research deals with explicit aspects from product or service data, we extract and classify implicit and explicit aspect phrases from German-language physician review texts. Patients often rate on the basis of perceived friendliness or competence. The vocabulary is difficult, the topic sensitive, and the data user-generated. The aspect phrases come with various wordings using insertions and are not noun-based, which makes the presented case equally relevant and reality-based. To find complex, indirect aspect phrases, up-to-date deep learning approaches must be combined with supervised training data. We describe three aspect phrase datasets, one of them new, as well as a newly annotated aspect polarity dataset. Alongside this, we build an algorithm to rate the aspect phrase importance. All in all, we train eight transformers on the new raw data domain, compare 54 neural aspect extraction models and, based on this, create eight aspect polarity models for our pipeline. These models are evaluated by using Precision, Recall, and F-Score measures. Finally, we evaluate our aspect phrase importance measure algorithm. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In: Kapetanios E, Horacek H, Métais E, Meziane F, eds. Natural Language Processing and Information Systems. Vol 12801. Lecture Notes in Computer Science. Springer; 2021:231--242.' apa: Kersting, J., & Geierhos, M. (2021). Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In E. Kapetanios, H. Horacek, E. Métais, & F. Meziane (Eds.), Natural Language Processing and Information Systems (Vol. 12801, pp. 231--242). Springer. bibtex: '@inbook{Kersting_Geierhos_2021, place={Saarbrücken, Germany}, series={Lecture Notes in Computer Science}, title={Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting}, volume={12801}, booktitle={Natural Language Processing and Information Systems}, publisher={Springer}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Kapetanios, Epaminondas and Horacek, Helmut and Métais, Elisabeth and Meziane, Farid}, year={2021}, pages={231--242}, collection={Lecture Notes in Computer Science} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” In Natural Language Processing and Information Systems, edited by Epaminondas Kapetanios, Helmut Horacek, Elisabeth Métais, and Farid Meziane, 12801:231--242. Lecture Notes in Computer Science. Saarbrücken, Germany: Springer, 2021.' ieee: 'J. Kersting and M. Geierhos, “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting,” in Natural Language Processing and Information Systems, vol. 12801, E. Kapetanios, H. Horacek, E. Métais, and F. Meziane, Eds. Saarbrücken, Germany: Springer, 2021, pp. 231--242.' mla: Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” Natural Language Processing and Information Systems, edited by Epaminondas Kapetanios et al., vol. 12801, Springer, 2021, pp. 231--242. short: 'J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.' conference: end_date: 2021-06-25 location: Saarbrücken, Germany name: 26th International Conference on Natural Language & Information Systems (NLDB 2021) start_date: 2021-06-23 date_created: 2021-05-07T16:31:05Z date_updated: 2022-07-14T08:00:56Z ddc: - '004' department: - _id: '579' editor: - first_name: Epaminondas full_name: Kapetanios, Epaminondas last_name: Kapetanios - first_name: Helmut full_name: Horacek, Helmut last_name: Horacek - first_name: Elisabeth full_name: Métais, Elisabeth last_name: Métais - first_name: Farid full_name: Meziane, Farid last_name: Meziane file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2022-07-14T08:00:35Z date_updated: 2022-07-14T08:00:35Z file_id: '32362' file_name: Kersting & Geierhos (2021b), Kersting2021b.pdf file_size: 506329 relation: main_file success: 1 file_date_updated: 2022-07-14T08:00:35Z has_accepted_license: '1' intvolume: ' 12801' language: - iso: eng page: 231--242 place: Saarbrücken, Germany project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Natural Language Processing and Information Systems publication_status: published publisher: Springer series_title: Lecture Notes in Computer Science status: public title: Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting type: book_chapter user_id: '58701' volume: 12801 year: '2021' ... --- _id: '21178' abstract: - lang: eng text: "When engaging in argumentative discourse, skilled human debaters tailor\r\nclaims to the beliefs of the audience, to construct effective arguments.\r\nRecently, the field of computational argumentation witnessed extensive effort\r\nto address the automatic generation of arguments. However, existing approaches\r\ndo not perform any audience-specific adaptation. In this work, we aim to bridge\r\nthis gap by studying the task of belief-based claim generation: Given a\r\ncontroversial topic and a set of beliefs, generate an argumentative claim\r\ntailored to the beliefs. To tackle this task, we model the people's prior\r\nbeliefs through their stances on controversial topics and extend\r\nstate-of-the-art text generation models to generate claims conditioned on the\r\nbeliefs. Our automatic evaluation confirms the ability of our approach to adapt\r\nclaims to a set of given beliefs. In a manual study, we additionally evaluate\r\nthe generated claims in terms of informativeness and their likelihood to be\r\nuttered by someone with a respective belief. Our results reveal the limitations\r\nof modeling users' beliefs based on their stances, but demonstrate the\r\npotential of encoding beliefs into argumentative texts, laying the ground for\r\nfuture exploration of audience reach." author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Timon full_name: Gurcke, Timon id: '52174' last_name: Gurcke - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Association for Computational Linguistics; 2021:224-223.' apa: 'Alshomary, M., Chen, W.-F., Gurcke, T., & Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223.' bibtex: '@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Chen, Wei-Fan and Gurcke, Timon and Wachsmuth, Henning}, year={2021}, pages={224–223} }' chicago: 'Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223. Association for Computational Linguistics, 2021.' ieee: 'M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Online, 2021, pp. 224–223.' mla: 'Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.' short: 'M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.' conference: location: Online name: 'Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume' date_created: 2021-02-05T08:00:07Z date_updated: 2022-05-09T15:01:53Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2021.eacl-main.17 page: 224-223 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume' publisher: Association for Computational Linguistics status: public title: Belief-based Generation of Argumentative Claims type: conference user_id: '82920' year: '2021' ... --- _id: '23709' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al Khatib, Khalid last_name: Al Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: Findings of the Association for Computational Linguistics: EMNLP 2021. ; 2021:2683-2693.' apa: 'Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.' bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693} }' chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–93, 2021.' ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural Sentence-Level Reframing of News Articles,” in Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.' mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.' short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.' date_created: 2021-09-02T20:09:20Z date_updated: 2022-05-09T15:00:09Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.findings-emnlp.228.pdf page: 2683 - 2693 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021' status: public title: Controlled Neural Sentence-Level Reframing of News Articles type: conference user_id: '82920' year: '2021' ... --- _id: '22229' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159' apa: 'Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159' bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={10.18653/v1/2021.findings-acl.159}, booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021} }' chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.' ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.' mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.' short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.' conference: location: Online name: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) date_created: 2021-05-26T07:06:18Z date_updated: 2022-05-09T15:06:36Z department: - _id: '600' doi: 10.18653/v1/2021.findings-acl.159 language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.findings-acl.159.pdf page: 1816–1827 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) publisher: Association for Computational Linguistics series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021' status: public title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises' type: conference user_id: '82920' year: '2021' ... --- _id: '45788' author: - first_name: Jonas full_name: Bülling, Jonas last_name: Bülling citation: ama: 'Bülling J. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.; 2021.' apa: 'Bülling, J. (2021). Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump.' bibtex: '@book{Bülling_2021, title={Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump}, author={Bülling, Jonas}, year={2021} }' chicago: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.' ieee: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.' mla: 'Bülling, Jonas. Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump. 2021.' short: 'J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021.' date_created: 2023-06-27T12:54:30Z date_updated: 2023-07-05T07:32:18Z department: - _id: '600' language: - iso: eng project: - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' status: public supervisor: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth title: 'Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump' type: mastersthesis user_id: '477' year: '2021' ... --- _id: '45787' author: - first_name: Avishek full_name: Mishra, Avishek last_name: Mishra citation: ama: Mishra A. Computational Text Professionalization Using Neural Sequence-to-Sequence Models.; 2021. apa: Mishra, A. (2021). Computational Text Professionalization using Neural Sequence-to-Sequence Models. bibtex: '@book{Mishra_2021, title={Computational Text Professionalization using Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }' chicago: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021. ieee: A. Mishra, Computational Text Professionalization using Neural Sequence-to-Sequence Models. 2021. mla: Mishra, Avishek. Computational Text Professionalization Using Neural Sequence-to-Sequence Models. 2021. short: A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021. date_created: 2023-06-27T12:51:08Z date_updated: 2023-07-05T07:32:50Z department: - _id: '600' language: - iso: eng project: - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' status: public supervisor: - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth title: Computational Text Professionalization using Neural Sequence-to-Sequence Models type: mastersthesis user_id: '477' year: '2021' ... --- _id: '17347' abstract: - lang: eng text: Peer-to-Peer news portals allow Internet users to write news articles and make them available online to interested readers. Despite the fact that authors are free in their choice of topics, there are a number of quality characteristics that an article must meet before it is published. In addition to meaningful titles, comprehensibly written texts and meaning- ful images, relevant tags are an important criteria for the quality of such news. In this case study, we discuss the challenges and common mistakes that Peer-to-Peer reporters face when tagging news and how incorrect information can be corrected through the orchestration of existing Natu- ral Language Processing services. Lastly, we use this illustrative example to give insight into the challenges of dealing with bottom-up taxonomies. author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Bianca full_name: Buff, Bianca last_name: Buff - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Kersting J, Buff B, Geierhos M. Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging. In: Audrius L, Rita B, Daina G, Vilma S, eds. Information and Software Technologies. Vol 1283. Communications in Computer and Information Science. Springer; 2020:368--382. doi:https://doi.org/10.1007/978-3-030-59506-7_30' apa: 'Bäumer, F. S., Kersting, J., Buff, B., & Geierhos, M. (2020). Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging. In L. Audrius, B. Rita, G. Daina, & S. Vilma (Eds.), Information and Software Technologies (Vol. 1283, pp. 368--382). Kaunas, Litauen: Springer. https://doi.org/10.1007/978-3-030-59506-7_30' bibtex: '@inbook{Bäumer_Kersting_Buff_Geierhos_2020, series={Communications in Computer and Information Science}, title={Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging}, volume={1283}, DOI={https://doi.org/10.1007/978-3-030-59506-7_30}, booktitle={Information and Software Technologies}, publisher={Springer}, author={Bäumer, Frederik Simon and Kersting, Joschka and Buff, Bianca and Geierhos, Michaela}, editor={Audrius, Lopata and Rita, Butkienė and Daina, Gudonienė and Vilma, SukackėEditors}, year={2020}, pages={368--382}, collection={Communications in Computer and Information Science} }' chicago: 'Bäumer, Frederik Simon, Joschka Kersting, Bianca Buff, and Michaela Geierhos. “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging.” In Information and Software Technologies, edited by Lopata Audrius, Butkienė Rita, Gudonienė Daina, and Sukackė Vilma, 1283:368--382. Communications in Computer and Information Science. Springer, 2020. https://doi.org/10.1007/978-3-030-59506-7_30.' ieee: 'F. S. Bäumer, J. Kersting, B. Buff, and M. Geierhos, “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging,” in Information and Software Technologies, vol. 1283, L. Audrius, B. Rita, G. Daina, and S. Vilma, Eds. Springer, 2020, pp. 368--382.' mla: 'Bäumer, Frederik Simon, et al. “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging.” Information and Software Technologies, edited by Lopata Audrius et al., vol. 1283, Springer, 2020, pp. 368--382, doi:https://doi.org/10.1007/978-3-030-59506-7_30.' short: 'F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: L. Audrius, B. Rita, G. Daina, S. Vilma (Eds.), Information and Software Technologies, Springer, 2020, pp. 368--382.' conference: end_date: 2020-10-17 location: Kaunas, Litauen name: 26th International Conference on Information and Software Technologies (ICIST 2020) start_date: 2020-10-15 date_created: 2020-06-26T14:23:52Z date_updated: 2022-01-06T06:53:08Z ddc: - '004' department: - _id: '579' - _id: '1' - _id: '36' doi: https://doi.org/10.1007/978-3-030-59506-7_30 editor: - first_name: Lopata full_name: Audrius, Lopata last_name: Audrius - first_name: Butkienė full_name: Rita, Butkienė last_name: Rita - first_name: Gudonienė full_name: Daina, Gudonienė last_name: Daina - first_name: Sukackė full_name: Vilma, Sukackė last_name: Vilma file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-11-07T19:47:30Z date_updated: 2020-11-07T19:47:30Z file_id: '20309' file_name: Bäumer et al. (2020), Baeumer2020.pdf .pdf file_size: 599881 relation: main_file success: 1 file_date_updated: 2020-11-07T19:47:30Z has_accepted_license: '1' intvolume: ' 1283' language: - iso: eng page: 368--382 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Information and Software Technologies publication_status: published publisher: Springer series_title: Communications in Computer and Information Science status: public title: 'Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging' type: book_chapter user_id: '58701' volume: 1283 year: '2020' ... --- _id: '18686' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer citation: ama: 'Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020. IADIS; 2020:119--123.' apa: 'Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.' bibtex: '@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }' chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.' ieee: 'J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.' mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.' short: 'J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.' conference: end_date: 20.11.2020 location: Lisbon, Portugal name: 17th International Conference on Applied Computing start_date: 18.11.2020 date_created: 2020-08-31T10:59:54Z date_updated: 2022-01-06T06:53:51Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-11-19T17:29:03Z date_updated: 2020-11-19T17:29:03Z file_id: '20443' file_name: Kersting & Bäumer (2020), Kersting2020d.pdf file_size: 1064877 relation: main_file success: 1 file_date_updated: 2020-11-19T17:29:03Z has_accepted_license: '1' keyword: - Software Requirements - Natural Language Processing - Transfer Learning - On-The-Fly Computing language: - iso: eng page: 119--123 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020 publisher: IADIS status: public title: 'SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH' type: conference user_id: '58701' year: '2020' ... --- _id: '15580' abstract: - lang: eng text: This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthermore, we describe the annotation process of a dataset for supervised learning with neural networks. Moreover, we introduce our model for extracting and classifying aspect phrases in one step, which obtains an F1-score of 80%. By applying it to a more complex domain, our approach and results outperform previous approaches. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS; 2020:391--400.' apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={391--400} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400. mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.' conference: location: Valetta, Malta name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI) date_created: 2020-01-15T08:35:07Z date_updated: 2022-01-06T06:52:29Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:00Z date_updated: 2020-09-18T09:27:00Z file_id: '19576' file_name: Kersting & Geierhos (2020), Kersting2020.pdf file_size: 421780 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:00Z has_accepted_license: '1' keyword: - Deep Learning - Natural Language Processing - Aspect-based Sentiment Analysis language: - iso: eng page: 391--400 place: Setúbal, Portugal project: - _id: '3' name: SFB 901 - Project Area B - _id: '1' name: SFB 901 - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) publisher: SCITEPRESS status: public title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning type: conference user_id: '58701' year: '2020' ... --- _id: '15582' abstract: - lang: eng text: When it comes to increased digitization in the health care domain, privacy is a relevant topic nowadays. This relates to patient data, electronic health records or physician reviews published online, for instance. There exist different approaches to the protection of individuals’ privacy, which focus on the anonymization and masking of personal information subsequent to their mining. In the medical domain in particular, measures to protect the privacy of patients are of high importance due to the amount of sensitive data that is involved (e.g. age, gender, illnesses, medication). While privacy breaches in structured data can be detected more easily, disclosure in written texts is more difficult to find automatically due to the unstructured nature of natural language. Therefore, we take a detailed look at existing research on areas related to privacy protection. Likewise, we review approaches to the automatic detection of privacy disclosure in different types of medical data. We provide a survey of several studies concerned with privacy breaches in the medical domain with a focus on Physician Review Websites (PRWs). Finally, we briefly develop implications and directions for further research. author: - first_name: Bianca full_name: Buff, Bianca last_name: Buff - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Buff B, Kersting J, Geierhos M. Detection of Privacy Disclosure in the Medical Domain: A Survey. In: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020). Setúbal, Portugal: SCITEPRESS; 2020:630--637.' apa: 'Buff, B., Kersting, J., & Geierhos, M. (2020). Detection of Privacy Disclosure in the Medical Domain: A Survey. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020) (pp. 630--637). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Buff_Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Detection of Privacy Disclosure in the Medical Domain: A Survey}, booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)}, publisher={SCITEPRESS}, author={Buff, Bianca and Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={630--637} }' chicago: 'Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 630--637. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: 'B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in the Medical Domain: A Survey,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta, 2020, pp. 630--637.' mla: 'Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.' short: 'B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.' conference: location: Valetta, Malta name: International Conference on Pattern Recognition Applications and Methods (ICPRAM) date_created: 2020-01-15T08:49:25Z date_updated: 2022-01-06T06:52:30Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:25:30Z date_updated: 2020-09-18T09:25:30Z file_id: '19574' file_name: Buff et al. (2020), Buff2020.pdf file_size: 287956 relation: main_file success: 1 file_date_updated: 2020-09-18T09:25:30Z has_accepted_license: '1' keyword: - Identity Disclosure - Privacy Protection - Physician Review Website - De-Anonymization - Medical Domain language: - iso: eng page: 630--637 place: Setúbal, Portugal project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020) publisher: SCITEPRESS status: public title: 'Detection of Privacy Disclosure in the Medical Domain: A Survey' type: conference user_id: '58701' year: '2020' ... --- _id: '15635' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference. North Miami Beach, FL, USA: AAAI; 2020:282--285.' apa: 'Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={North Miami Beach, FL, USA}, title={Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis}, booktitle={Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference}, publisher={AAAI}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={282--285} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.' ieee: J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis,” in Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North Miami Beach, FL, USA, 2020, pp. 282--285. mla: Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, 2020, pp. 282--285. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami Beach, FL, USA, 2020, pp. 282--285.' conference: end_date: 2020-05-20 location: North Miami Beach, FL, USA name: The 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference start_date: 2020-05-17 date_created: 2020-01-24T09:10:09Z date_updated: 2022-01-06T06:52:31Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:39:08Z date_updated: 2020-09-18T09:39:08Z file_id: '19582' file_name: Kersting & Geierhos (2020b), Kersting2020b.pdf file_size: 464976 relation: main_file success: 1 file_date_updated: 2020-09-18T09:39:08Z has_accepted_license: '1' language: - iso: eng page: 282--285 place: North Miami Beach, FL, USA project: - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 - _id: '1' name: SFB 901 publication: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference publisher: AAAI status: public title: Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis type: conference user_id: '58701' year: '2020' ... --- _id: '15025' abstract: - lang: eng text: In software engineering, the imprecise requirements of a user are transformed to a formal requirements specification during the requirements elicitation process. This process is usually guided by requirements engineers interviewing the user. We want to partially automate this first step of the software engineering process in order to enable users to specify a desired software system on their own. With our approach, users are only asked to provide exemplary behavioral descriptions. The problem of synthesizing a requirements specification from examples can partially be reduced to the problem of grammatical inference, to which we apply an active coevolutionary learning approach. However, this approach would usually require many feedback queries to be sent to the user. In this work, we extend and generalize our active learning approach to receive knowledge from multiple oracles, also known as proactive learning. The ‘user oracle’ represents input received from the user and the ‘knowledge oracle’ represents available, formalized domain knowledge. We call our two-oracle approach the ‘first apply knowledge then query’ (FAKT/Q) algorithm. We compare FAKT/Q to the active learning approach and provide an extensive benchmark evaluation. As result we find that the number of required user queries is reduced and the inference process is sped up significantly. Finally, with so-called On-The-Fly Markets, we present a motivation and an application of our approach where such knowledge is available. author: - first_name: Marcel Dominik full_name: Wever, Marcel Dominik id: '33176' last_name: Wever orcid: ' https://orcid.org/0000-0001-9782-6818' - first_name: Lorijn full_name: van Rooijen, Lorijn id: '58843' last_name: van Rooijen - first_name: Heiko full_name: Hamann, Heiko last_name: Hamann citation: ama: Wever MD, van Rooijen L, Hamann H. Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation. 2020;28(2):165–193. doi:10.1162/evco_a_00266 apa: Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266 bibtex: '@article{Wever_van Rooijen_Hamann_2020, title={Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets}, volume={28}, DOI={10.1162/evco_a_00266}, number={2}, journal={Evolutionary Computation}, publisher={MIT Press Journals}, author={Wever, Marcel Dominik and van Rooijen, Lorijn and Hamann, Heiko}, year={2020}, pages={165–193} }' chicago: 'Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation 28, no. 2 (2020): 165–193. https://doi.org/10.1162/evco_a_00266.' ieee: 'M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets,” Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi: 10.1162/evco_a_00266.' mla: Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation, vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:10.1162/evco_a_00266. short: M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020) 165–193. date_created: 2019-11-18T14:19:19Z date_updated: 2022-01-06T06:52:15Z department: - _id: '34' - _id: '355' - _id: '26' - _id: '63' - _id: '238' doi: 10.1162/evco_a_00266 intvolume: ' 28' issue: '2' language: - iso: eng page: 165–193 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 - _id: '10' name: SFB 901 - Subproject B2 - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Evolutionary Computation publication_status: published publisher: MIT Press Journals related_material: link: - relation: confirmation url: https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00266 status: public title: Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets type: journal_article user_id: '15415' volume: 28 year: '2020' ... --- _id: '15256' abstract: - lang: eng text: This paper deals with online customer reviews of local multi-service providers. While many studies investigate product reviews and online labour markets with service providers delivering intangible products “over the wire”, we focus on websites where providers offer multiple distinct services that can be booked, paid and reviewed online but are performed locally offline. This type of service providers has so far been neglected in the literature. This paper analyses reviews and applies sentiment analysis. It aims to gain new insights into local multi-service providers’ performance. There is a broad literature range presented with regard to the topics addressed. The results show, among other things, that providers with good ratings continue to perform well over time. We find that many positive reviews seem to encourage sales. On average, quantitative star ratings and qualitative ratings in the form of review texts match. Further results are also achieved in this study. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS; 2020:263--272.' apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (pp. 263--272). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers}, booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 263--272. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272. mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2020, pp. 263--272. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.' conference: location: Valetta, Malta name: International Conference on Pattern Recognition Applications and Methods (ICPRAM) date_created: 2019-12-06T13:09:42Z date_updated: 2022-01-06T06:52:19Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:41Z date_updated: 2020-09-18T09:27:41Z file_id: '19577' file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf file_size: 963370 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:41Z has_accepted_license: '1' keyword: - Customer Reviews - Sentiment Analysis - Online Labour Markets language: - iso: eng page: 263--272 place: Setúbal, Portugal project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods publisher: SCITEPRESS status: public title: What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers type: conference user_id: '58701' year: '2020' ... --- _id: '13770' author: - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm id: '15523' last_name: Meyer auf der Heide - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering. 2020;62(6):467-481. doi:10.1007/s12599-019-00627-x' apa: 'Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x' bibtex: '@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={10.1007/s12599-019-00627-x}, number={6}, journal={Business & Information Systems Engineering}, publisher={Springer}, author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and Wehrheim, Heike}, year={2020}, pages={467–481} }' chicago: 'Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business & Information Systems Engineering 62, no. 6 (2020): 467–81. https://doi.org/10.1007/s12599-019-00627-x.' ieee: 'H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for a New IT Ecosystem: On-The-Fly Computing,” Business & Information Systems Engineering, vol. 62, no. 6, pp. 467–481, 2020, doi: 10.1007/s12599-019-00627-x.' mla: 'Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business & Information Systems Engineering, vol. 62, no. 6, Springer, 2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.' short: H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business & Information Systems Engineering 62 (2020) 467–481. date_created: 2019-10-10T13:41:06Z date_updated: 2022-12-02T09:27:17Z ddc: - '004' department: - _id: '276' - _id: '75' - _id: '63' - _id: '77' doi: 10.1007/s12599-019-00627-x file: - access_level: closed content_type: application/pdf creator: ups date_created: 2019-12-12T10:24:47Z date_updated: 2019-12-12T10:24:47Z file_id: '15311' file_name: Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf file_size: 454532 relation: main_file success: 1 file_date_updated: 2019-12-12T10:24:47Z has_accepted_license: '1' intvolume: ' 62' issue: '6' language: - iso: eng page: 467-481 project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '3' name: SFB 901 - Project Area B - _id: '4' name: SFB 901 - Project Area C - _id: '82' name: SFB 901 - Project Area T - _id: '5' name: SFB 901 - Subproject A1 - _id: '6' name: SFB 901 - Subproject A2 - _id: '7' name: SFB 901 - Subproject A3 - _id: '8' name: SFB 901 - Subproject A4 - _id: '9' name: SFB 901 - Subproject B1 - _id: '10' name: SFB 901 - Subproject B2 - _id: '11' name: SFB 901 - Subproject B3 - _id: '12' name: SFB 901 - Subproject B4 - _id: '13' name: SFB 901 - Subproject C1 - _id: '14' name: SFB 901 - Subproject C2 - _id: '15' name: SFB 901 - Subproject C3 - _id: '16' name: SFB 901 - Subproject C4 - _id: '17' name: SFB 901 - Subproject C5 - _id: '83' name: SFB 901 -Subproject T1 - _id: '84' name: SFB 901 -Subproject T2 - _id: '107' name: SFB 901 -Subproject T3 - _id: '158' name: 'SFB 901 - T4: SFB 901 -Subproject T4' publication: Business & Information Systems Engineering publication_status: published publisher: Springer status: public title: 'A Case for a New IT Ecosystem: On-The-Fly Computing' type: journal_article user_id: '477' volume: 62 year: '2020' ... --- _id: '3776' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. ; 2020:149-154.' apa: Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154. bibtex: '@inproceedings{Chen_Al-Khatib_Wachsmuth_Stein_2020, title={Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity}, booktitle={Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Wachsmuth, Henning and Stein, Benno}, year={2020}, pages={149–154} }' chicago: Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–54, 2020. ieee: W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity,” in Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154. mla: Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–54. short: 'W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154.' date_created: 2018-08-02T11:40:56Z date_updated: 2022-05-09T15:03:31Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf page: 149-154 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science status: public title: Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity type: conference user_id: '82920' year: '2020' ... --- _id: '20137' author: - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Martin full_name: Potthast, Martin last_name: Potthast citation: ama: 'Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.' apa: 'Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.' bibtex: '@inproceedings{Syed_Chen_Hagen_Stein_Wachsmuth_Potthast_2020, title={Task Proposal: Abstractive Snippet Generation for Web Pages}, booktitle={Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)}, author={Syed, Shahbaz and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Wachsmuth, Henning and Potthast, Martin}, year={2020}, pages={237–241} }' chicago: 'Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–41, 2020.' ieee: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.' mla: 'Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web Pages.” Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–41.' short: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.' date_created: 2020-10-20T13:00:06Z date_updated: 2022-05-09T15:03:11Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.inlg-1.30.pdf page: 237-241 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020) status: public title: 'Task Proposal: Abstractive Snippet Generation for Web Pages' type: conference user_id: '82920' year: '2020' ... --- _id: '3818' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In: Findings of the Association for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.' apa: 'Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.' bibtex: '@inproceedings{Chen_Al-Khatib_Stein_Wachsmuth_2020, title={Detecting Media Bias in News Articles using Gaussian Bias Distributions}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={4290–4300} }' chicago: 'Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.' ieee: 'W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias in News Articles using Gaussian Bias Distributions,” in Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.' mla: 'Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–300.' short: 'W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.' date_created: 2018-08-02T13:38:46Z date_updated: 2022-05-09T15:00:46Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf page: 4290-4300 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Findings of the Association for Computational Linguistics: EMNLP 2020' status: public title: Detecting Media Bias in News Articles using Gaussian Bias Distributions type: conference user_id: '82920' year: '2020' ... --- _id: '15826' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Martin full_name: Potthast, Martin last_name: Potthast citation: ama: 'Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.' apa: Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319. bibtex: '@inproceedings{Chen_Syed_Stein_Hagen_Potthast_2020, title={Abstractive Snippet Generation}, booktitle={Proceedings of the Web Conference 2020}, author={Chen, Wei-Fan and Syed, Shahbaz and Stein, Benno and Hagen, Matthias and Potthast, Martin}, year={2020}, pages={1309–1319} }' chicago: Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020, 1309–19, 2020. ieee: W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet Generation,” in Proceedings of the Web Conference 2020, 2020, pp. 1309–1319. mla: Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the Web Conference 2020, 2020, pp. 1309–19. short: 'W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.' date_created: 2020-02-06T10:51:33Z date_updated: 2022-05-09T15:03:53Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://dl.acm.org/doi/pdf/10.1145/3366423.3380206 page: 1309-1319 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Web Conference 2020 status: public title: Abstractive Snippet Generation type: conference user_id: '82920' year: '2020' ... --- _id: '16868' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345.' apa: Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345. bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2020, series={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics}, title={Target Inference in Argument Conclusion Generation}, booktitle={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2020}, pages={4334–4345}, collection={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics} }' chicago: Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. ieee: M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in Argument Conclusion Generation,” in Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020, pp. 4334–4345. mla: Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45. short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–4345.' conference: end_date: 2020.07.10 location: Seattle, USA name: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) start_date: 2020.07.05 date_created: 2020-04-27T10:11:00Z date_updated: 2022-05-09T15:06:52Z ddc: - '000' department: - _id: '600' - _id: '568' file: - access_level: closed content_type: application/pdf creator: sile2804 date_created: 2020-05-22T06:41:25Z date_updated: 2020-05-22T06:41:25Z file_id: '17054' file_name: acl20-conclusion-generation-frame.pdf file_size: 1572275 relation: main_file success: 1 file_date_updated: 2020-05-22T06:41:25Z has_accepted_license: '1' language: - iso: eng page: 4334-4345 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) publisher: Association for Computational Linguistics series_title: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics status: public title: Target Inference in Argument Conclusion Generation type: conference user_id: '82920' year: '2020' ... --- _id: '8312' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub. Basel, Switzerland: MDPI; 2019.' apa: 'Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.' bibtex: '@inbook{Bäumer_Geierhos_2019, place={Basel, Switzerland}, title={Requirements Engineering in OTF-Computing}, booktitle={encyclopedia.pub}, publisher={MDPI}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2019} }' chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” In Encyclopedia.Pub. Basel, Switzerland: MDPI, 2019.' ieee: 'F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,” in encyclopedia.pub, Basel, Switzerland: MDPI, 2019.' mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” Encyclopedia.Pub, MDPI, 2019. short: 'F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland, 2019.' date_created: 2019-03-05T08:54:37Z date_updated: 2022-01-06T07:03:53Z department: - _id: '36' - _id: '1' - _id: '579' keyword: - OTF Computing - Natural Language Processing - Requirements Engineering language: - iso: eng main_file_link: - open_access: '1' url: https://encyclopedia.pub/131 oa: '1' place: Basel, Switzerland project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: encyclopedia.pub publication_status: published publisher: MDPI quality_controlled: '1' status: public title: Requirements Engineering in OTF-Computing type: encyclopedia_article user_id: '42496' year: '2019' ... --- _id: '8424' abstract: - lang: eng text: 'The vision of On-the-Fly (OTF) Computing is to compose and provide software services ad hoc, based on requirement descriptions in natural language. Since non-technical users write their software requirements themselves and in unrestricted natural language, deficits occur such as inaccuracy and incompleteness. These deficits are usually met by natural language processing methods, which have to face special challenges in OTF Computing because maximum automation is the goal. In this paper, we present current automatic approaches for solving inaccuracies and incompletenesses in natural language requirement descriptions and elaborate open challenges. In particular, we will discuss the necessity of domain-specific resources and show why, despite far-reaching automation, an intelligent and guided integration of end users into the compensation process is required. In this context, we present our idea of a chat bot that integrates users into the compensation process depending on the given circumstances. ' article_number: '22' article_type: original author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Kersting J, Geierhos M. Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers. 2019;8(1). doi:10.3390/computers8010022' apa: 'Bäumer, F. S., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022' bibtex: '@article{Bäumer_Kersting_Geierhos_2019, title={Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches}, volume={8}, DOI={10.3390/computers8010022}, number={122}, journal={Computers}, publisher={MDPI AG, Basel, Switzerland}, author={Bäumer, Frederik Simon and Kersting, Joschka and Geierhos, Michaela}, year={2019} }' chicago: 'Bäumer, Frederik Simon, Joschka Kersting, and Michaela Geierhos. “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches.” Computers 8, no. 1 (2019). https://doi.org/10.3390/computers8010022.' ieee: 'F. S. Bäumer, J. Kersting, and M. Geierhos, “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches,” Computers, vol. 8, no. 1, 2019.' mla: 'Bäumer, Frederik Simon, et al. “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches.” Computers, vol. 8, no. 1, 22, MDPI AG, Basel, Switzerland, 2019, doi:10.3390/computers8010022.' short: F.S. Bäumer, J. Kersting, M. Geierhos, Computers 8 (2019). conference: end_date: 2018-10-06 location: Vilnius, Lithuania name: 24th International Conference on Information and Software Technologies (ICIST 2018) start_date: 2018-10-04 date_created: 2019-03-06T14:27:28Z date_updated: 2022-01-06T07:03:55Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.3390/computers8010022 file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:23:34Z date_updated: 2020-09-18T09:23:34Z file_id: '19572' file_name: Bäumer et al. (2019), Baeumer2019.pdf file_size: 3164523 relation: main_file success: 1 file_date_updated: 2020-09-18T09:23:34Z has_accepted_license: '1' intvolume: ' 8' issue: '1' keyword: - Inaccuracy Detection - Natural Language Software Requirements - Chat Bot language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/2073-431X/8/1/22/pdf oa: '1' project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Computers publication_identifier: issn: - 2073-431X publication_status: published publisher: MDPI AG, Basel, Switzerland quality_controlled: '1' status: public title: 'Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches' type: journal_article user_id: '58701' volume: 8 year: '2019' ... --- _id: '13126' author: - first_name: Lial full_name: Khaluf, Lial last_name: Khaluf citation: ama: Khaluf L. Organic Programming of Dynamic Real-Time Applications. Universität Paderborn; 2019. apa: Khaluf, L. (2019). Organic Programming of Dynamic Real-Time Applications. Universität Paderborn. bibtex: '@book{Khaluf_2019, title={Organic Programming of Dynamic Real-Time Applications}, publisher={Universität Paderborn}, author={Khaluf, Lial}, year={2019} }' chicago: Khaluf, Lial. Organic Programming of Dynamic Real-Time Applications. Universität Paderborn, 2019. ieee: L. Khaluf, Organic Programming of Dynamic Real-Time Applications. Universität Paderborn, 2019. mla: Khaluf, Lial. Organic Programming of Dynamic Real-Time Applications. Universität Paderborn, 2019. short: L. Khaluf, Organic Programming of Dynamic Real-Time Applications, Universität Paderborn, 2019. date_created: 2019-09-03T12:23:44Z date_updated: 2022-01-06T06:51:28Z department: - _id: '7' - _id: '70' language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publisher: Universität Paderborn status: public supervisor: - first_name: Franz full_name: Rammig, Franz last_name: Rammig title: Organic Programming of Dynamic Real-Time Applications type: dissertation user_id: '477' year: '2019' ... --- _id: '13435' author: - first_name: Edwin full_name: Friesen, Edwin last_name: Friesen citation: ama: 'Friesen E. Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn; 2019.' apa: 'Friesen, E. (2019). Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn.' bibtex: '@book{Friesen_2019, title={Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis}, publisher={Universität Paderborn}, author={Friesen, Edwin}, year={2019} }' chicago: 'Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn, 2019.' ieee: 'E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn, 2019.' mla: 'Friesen, Edwin. Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn, 2019.' short: 'E. Friesen, Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis, Universität Paderborn, 2019.' date_created: 2019-09-20T14:58:49Z date_updated: 2022-01-06T06:51:36Z department: - _id: '36' - _id: '1' - _id: '579' language: - iso: ger project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publisher: Universität Paderborn status: public supervisor: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 title: 'Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis' type: bachelorsthesis user_id: '477' year: '2019' ... --- _id: '13259' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Chen W-F, Al-Khatib K, Hagen M, Wachsmuth H, Stein B. Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In: Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom. ; 2019:76-82.' apa: Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., & Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82. bibtex: '@inproceedings{Chen_Al-Khatib_Hagen_Wachsmuth_Stein_2019, title={Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition}, booktitle={Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Hagen, Matthias and Wachsmuth, Henning and Stein, Benno}, year={2019}, pages={76–82} }' chicago: Chen, Wei-Fan, Khalid Al-Khatib, Matthias Hagen, Henning Wachsmuth, and Benno Stein. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” In Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82, 2019. ieee: W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, and B. Stein, “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition,” in Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82. mla: Chen, Wei-Fan, et al. “Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition.” Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82. short: 'W.-F. Chen, K. Al-Khatib, M. Hagen, H. Wachsmuth, B. Stein, in: Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 2019, pp. 76–82.' date_created: 2019-09-17T14:42:43Z date_updated: 2022-05-09T15:04:18Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/D19-5009.pdf page: 76-82 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom status: public title: Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition type: conference user_id: '82920' year: '2019' ... --- _id: '2322' abstract: - lang: eng text: "The vision of On-The-Fly Computing is an automatic composition\r\nof existing software services. Based on natural language software\r\ndescriptions, end users will receive compositions tailored to their needs.\r\nFor this reason, the quality of the initial software service description\r\nstrongly determines whether a software composition really meets the expectations\r\nof end users. In this paper, we expose open NLP challenges\r\nneeded to be faced for service composition in On-The-Fly Computing." author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In: Silberztein M, Atigui F, Kornyshova E, Métais E, Meziane F, eds. Proceedings of the 23rd International Conference on Natural Language and Information Systems. Vol 10859. Lecture Notes in Computer Science. Cham, Switzerland: Springer; 2018:509-513. doi:10.1007/978-3-319-91947-8_53' apa: 'Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, & F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems (Vol. 10859, pp. 509–513). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-91947-8_53' bibtex: '@inbook{Bäumer_Geierhos_2018, place={Cham, Switzerland}, series={Lecture Notes in Computer Science}, title={How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges}, volume={10859}, DOI={10.1007/978-3-319-91947-8_53}, booktitle={Proceedings of the 23rd International Conference on Natural Language and Information Systems}, publisher={Springer}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Silberztein, Max and Atigui, Faten and Kornyshova, Elena and Métais, Elisabeth and Meziane, Farid Editors}, year={2018}, pages={509–513}, collection={Lecture Notes in Computer Science} }' chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges.” In Proceedings of the 23rd International Conference on Natural Language and Information Systems, edited by Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Métais, and Farid Meziane, 10859:509–13. Lecture Notes in Computer Science. Cham, Switzerland: Springer, 2018. https://doi.org/10.1007/978-3-319-91947-8_53.' ieee: 'F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges,” in Proceedings of the 23rd International Conference on Natural Language and Information Systems, vol. 10859, M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, and F. Meziane, Eds. Cham, Switzerland: Springer, 2018, pp. 509–513.' mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges.” Proceedings of the 23rd International Conference on Natural Language and Information Systems, edited by Max Silberztein et al., vol. 10859, Springer, 2018, pp. 509–13, doi:10.1007/978-3-319-91947-8_53.' short: 'F.S. Bäumer, M. Geierhos, in: M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems, Springer, Cham, Switzerland, 2018, pp. 509–513.' conference: end_date: 2018-06-18 location: Paris, France name: 23rd International Conference on Natural Language and Information Systems start_date: 2018-06-13 date_created: 2018-04-13T08:54:56Z date_updated: 2022-01-06T06:55:47Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-91947-8_53 editor: - first_name: 'Max ' full_name: 'Silberztein, Max ' last_name: Silberztein - first_name: 'Faten ' full_name: 'Atigui, Faten ' last_name: Atigui - first_name: 'Elena ' full_name: 'Kornyshova, Elena ' last_name: Kornyshova - first_name: 'Elisabeth ' full_name: 'Métais, Elisabeth ' last_name: Métais - first_name: 'Farid ' full_name: 'Meziane, Farid ' last_name: Meziane file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T16:12:26Z date_updated: 2018-11-02T16:12:26Z file_id: '5326' file_name: Bäumer-Geierhos2018_Chapter_HowToDealWithInaccurateService.pdf file_size: 327508 relation: main_file success: 1 file_date_updated: 2018-11-02T16:12:26Z has_accepted_license: '1' intvolume: ' 10859' keyword: - Requirements Extraction - Temporal Reordering of Software Functions - Inaccuracy Compensation language: - iso: eng page: 509-513 place: Cham, Switzerland project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 23rd International Conference on Natural Language and Information Systems publication_identifier: isbn: - 978-3-319-91946-1 publication_status: published publisher: Springer quality_controlled: '1' series_title: Lecture Notes in Computer Science status: public title: 'How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges' type: book_chapter user_id: '477' volume: 10859 year: '2018' ... --- _id: '2331' abstract: - lang: eng text: A user generally writes software requirements in ambiguous and incomplete form by using natural language; therefore, a software developer may have difficulty in clearly understanding what the meanings are. To solve this problem with automation, we propose a classifier for semantic annotation with manually pre-defined semantic categories. To improve our classifier, we carefully designed syntactic features extracted by constituency and dependency parsers. Even with a small dataset and a large number of classes, our proposed classifier records an accuracy of 0.75, which outperforms the previous model, REaCT. article_type: original author: - first_name: 'Yeongsu ' full_name: 'Kim, Yeongsu ' last_name: Kim - first_name: Seungwoo full_name: Lee, Seungwoo last_name: Lee - first_name: Markus full_name: Dollmann, Markus id: '27578' last_name: Dollmann - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12 apa: Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology, 112, 123–136. https://doi.org/10.14257/ijast.2018.112.12 bibtex: '@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure}, volume={112}, DOI={10.14257/ijast.2018.112.12}, journal={International Journal of Advanced Science and Technology}, publisher={SERSC Australia}, author={Kim, Yeongsu and Lee, Seungwoo and Dollmann, Markus and Geierhos, Michaela}, year={2018}, pages={123–136} }' chicago: 'Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” International Journal of Advanced Science and Technology 112 (2018): 123–36. https://doi.org/10.14257/ijast.2018.112.12.' ieee: Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure,” International Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018. mla: Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” International Journal of Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36, doi:10.14257/ijast.2018.112.12. short: Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced Science and Technology 112 (2018) 123–136. date_created: 2018-04-13T09:19:22Z date_updated: 2022-01-06T06:55:49Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.14257/ijast.2018.112.12 file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T15:16:29Z date_updated: 2018-11-02T15:16:29Z file_id: '5297' file_name: 12.pdf file_size: 586968 relation: main_file success: 1 file_date_updated: 2018-11-02T15:16:29Z has_accepted_license: '1' intvolume: ' 112' keyword: - Software Engineering - Natural Language Processing - Semantic Annotation - Machine Learning - Feature Engineering - Syntactic Structure language: - iso: eng page: 123-136 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: International Journal of Advanced Science and Technology publication_identifier: eissn: - 2207-6360 issn: - 2005-4238 publication_status: published publisher: SERSC Australia quality_controlled: '1' status: public title: Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure type: journal_article user_id: '477' volume: 112 year: '2018' ... --- _id: '4339' abstract: - lang: eng text: 'On-The-Fly Computing is the vision of covering software needs of end users by fully-automatic compositions of existing software services. End users will receive so-called service compositions tailored to their very individual needs, based on natural language software descriptions. This everyday language may contain inaccuracies and incompleteness, which are well-known challenges in requirements engineering. In addition to existing approaches that try to automatically identify and correct these deficits, there are also new trends to involve users more in the elaboration and refinement process. In this paper, we present the relevant state of the art in the field of automated detection and compensation of multiple inaccuracies in natural language service descriptions and name open challenges needed to be tackled in NL-based software service composition. ' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. NLP in OTF Computing: Current Approaches and Open Challenges. In: Damaševičius R, Vasiljevienė G, eds. Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018). Vol 920. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2018:559-570. doi:10.1007/978-3-319-99972-2_46' apa: 'Bäumer, F. S., & Geierhos, M. (2018). NLP in OTF Computing: Current Approaches and Open Challenges. In R. Damaševičius & G. Vasiljevienė (Eds.), Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018) (Vol. 920, pp. 559–570). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-99972-2_46' bibtex: '@inproceedings{Bäumer_Geierhos_2018, place={Cham, Switzerland}, series={Communications in Computer and Information Science}, title={NLP in OTF Computing: Current Approaches and Open Challenges}, volume={920}, DOI={10.1007/978-3-319-99972-2_46}, booktitle={Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018)}, publisher={Springer}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Damaševičius, Robertas and Vasiljevienė, GiedrėEditors}, year={2018}, pages={559–570}, collection={Communications in Computer and Information Science} }' chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “NLP in OTF Computing: Current Approaches and Open Challenges.” In Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), edited by Robertas Damaševičius and Giedrė Vasiljevienė, 920:559–70. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2018. https://doi.org/10.1007/978-3-319-99972-2_46.' ieee: 'F. S. Bäumer and M. Geierhos, “NLP in OTF Computing: Current Approaches and Open Challenges,” in Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), Vilnius, Lithuania, 2018, vol. 920, pp. 559–570.' mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “NLP in OTF Computing: Current Approaches and Open Challenges.” Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), edited by Robertas Damaševičius and Giedrė Vasiljevienė, vol. 920, Springer, 2018, pp. 559–70, doi:10.1007/978-3-319-99972-2_46.' short: 'F.S. Bäumer, M. Geierhos, in: R. Damaševičius, G. Vasiljevienė (Eds.), Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018), Springer, Cham, Switzerland, 2018, pp. 559–570.' conference: end_date: 2018-10-06 location: Vilnius, Lithuania name: 24th International Conference on Information and Software Technologies (ICIST 2018) start_date: 2018-10-04 date_created: 2018-09-01T08:52:36Z date_updated: 2022-01-06T07:00:57Z ddc: - '004' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-99972-2_46 editor: - first_name: Robertas full_name: Damaševičius, Robertas last_name: Damaševičius - first_name: Giedrė full_name: Vasiljevienė, Giedrė last_name: Vasiljevienė file: - access_level: closed content_type: application/pdf creator: fbaeumer date_created: 2019-01-11T11:36:10Z date_updated: 2019-01-11T11:36:10Z file_id: '6624' file_name: baeumer-4315.pdf file_size: 1053017 relation: main_file success: 1 file_date_updated: 2019-01-11T11:36:10Z has_accepted_license: '1' intvolume: ' 920' keyword: - Inaccuracy detection - Natural language software requirements language: - iso: eng page: 559-570 place: Cham, Switzerland project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 24th International Conference on Information and Software Technologies (ICIST 2018) publication_identifier: isbn: - '9783319999715' - '9783319999722' issn: - 1865-0929 - 1865-0937 publication_status: published publisher: Springer quality_controlled: '1' series_title: Communications in Computer and Information Science status: public title: 'NLP in OTF Computing: Current Approaches and Open Challenges' type: conference user_id: '38837' volume: 920 year: '2018' ... --- _id: '44' abstract: - lang: eng text: Natural language software requirements descriptions enable end users to formulate their wishes and expectations for a future software product without much prior knowledge in requirements engineering. However, these descriptions are susceptible to linguistic inaccuracies such as ambiguities and incompleteness that can harm the development process. There is a number of software solutions that can detect deficits in requirements descriptions and partially solve them, but they are often hard to use and not suitable for end users. For this reason, we develop a software system that helps end-users to create unambiguous and complete requirements descriptions by combining existing expert tools and controlling them using automatic compensation strategies. In order to recognize the necessity of individual compensation methods in the descriptions, we have developed linguistic indicators, which we present in this paper. Based on these indicators, the whole text analysis pipeline is ad-hoc configured and thus adapted to the individual circumstances of a requirements description. author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In: Proceedings of the 51st Hawaii International Conference on System Sciences. ; 2018:5746-5755. doi:10125/50609' apa: Bäumer, F. S., & Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In Proceedings of the 51st Hawaii International Conference on System Sciences (pp. 5746–5755). Big Island, Waikoloa Village. https://doi.org/10125/50609 bibtex: '@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines}, DOI={10125/50609}, booktitle={Proceedings of the 51st Hawaii International Conference on System Sciences}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2018}, pages={5746–5755} }' chicago: Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.” In Proceedings of the 51st Hawaii International Conference on System Sciences, 5746–55, 2018. https://doi.org/10125/50609. ieee: F. S. Bäumer and M. Geierhos, “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines,” in Proceedings of the 51st Hawaii International Conference on System Sciences, Big Island, Waikoloa Village, 2018, pp. 5746–5755. mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.” Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–55, doi:10125/50609. short: 'F.S. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–5755.' conference: end_date: 2018-01-06 location: Big Island, Waikoloa Village name: 51st Hawaii International Conference on System Sciences (HICSS 2018) start_date: 2018-01-03 date_created: 2017-10-17T12:40:59Z date_updated: 2022-01-06T07:01:01Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10125/50609 file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T14:32:35Z date_updated: 2018-11-02T14:32:35Z file_id: '5274' file_name: paper0722.pdf file_size: 753693 relation: main_file success: 1 file_date_updated: 2018-11-02T14:32:35Z has_accepted_license: '1' keyword: - 'Software Product Lines: Engineering' - Services - and Management - Ambiguities - Incompleteness - Natural Language Processing - Software Requirements language: - iso: eng main_file_link: - open_access: '1' url: https://scholarspace.manoa.hawaii.edu/bitstream/10125/50609/1/paper0722.pdf oa: '1' page: 5746-5755 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 51st Hawaii International Conference on System Sciences publication_identifier: isbn: - 978-0-9981331-1-9 publication_status: published quality_controlled: '1' status: public title: Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines type: conference user_id: '477' year: '2018' ... --- _id: '1104' abstract: - lang: ger text: 'Präzision ist kein Zufall. Sie wird vom Menschen herbeigeführt, indem Übereinstimmung mit einem Standard oder einem akzeptierten Wert angestrebt wird oder die Reproduzierbarkeit von Experimenten möglichst hoch sein muss. Was aber tun, wenn Präzision mangels verfügbarer Informationen nicht hergestellt werden kann? Wie gehen Wissenschaft und Kunst dann mit dieser fehlenden Eindeutigkeit um? Die Autorinnen und Autoren dieses Sammelbandes beleuchten aus der Perspektive ihrer jeweiligen Fachdisziplin die Chancen bei der Berücksichtigung von Unschärfe(n) in ihrer Forschung und Kunst. Denn Unschärfe ist Realität. ' author: - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Geierhos M. Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen. In: Freitag S, Geierhos M, Asmani R, Haug JI, eds. Unschärfe - Der Umgang mit fehlender Eindeutigkeit. 1st ed. Nordrhein-Westfälische Akademie der Wissenschaften und der Künste - Junges Kolleg. Paderborn, Germany: Ferdinand Schöningh; 2018:111-128.' apa: 'Geierhos, M. (2018). Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen. In S. Freitag, M. Geierhos, R. Asmani, & J. I. Haug (Eds.), Unschärfe - Der Umgang mit fehlender Eindeutigkeit (1st ed., pp. 111–128). Paderborn, Germany: Ferdinand Schöningh.' bibtex: '@inbook{Geierhos_2018, place={Paderborn, Germany}, edition={1}, series={Nordrhein-Westfälische Akademie der Wissenschaften und der Künste - Junges Kolleg}, title={Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen}, booktitle={Unschärfe - Der Umgang mit fehlender Eindeutigkeit}, publisher={Ferdinand Schöningh}, author={Geierhos, Michaela}, editor={Freitag, Steffen and Geierhos, Michaela and Asmani, Rozbeh and Haug, Judith I.Editors}, year={2018}, pages={111–128}, collection={Nordrhein-Westfälische Akademie der Wissenschaften und der Künste - Junges Kolleg} }' chicago: 'Geierhos, Michaela. “Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen.” In Unschärfe - Der Umgang mit fehlender Eindeutigkeit, edited by Steffen Freitag, Michaela Geierhos, Rozbeh Asmani, and Judith I. Haug, 1st ed., 111–28. Nordrhein-Westfälische Akademie der Wissenschaften und der Künste - Junges Kolleg. Paderborn, Germany: Ferdinand Schöningh, 2018.' ieee: 'M. Geierhos, “Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen,” in Unschärfe - Der Umgang mit fehlender Eindeutigkeit, 1st ed., S. Freitag, M. Geierhos, R. Asmani, and J. I. Haug, Eds. Paderborn, Germany: Ferdinand Schöningh, 2018, pp. 111–128.' mla: Geierhos, Michaela. “Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen.” Unschärfe - Der Umgang mit fehlender Eindeutigkeit, edited by Steffen Freitag et al., 1st ed., Ferdinand Schöningh, 2018, pp. 111–28. short: 'M. Geierhos, in: S. Freitag, M. Geierhos, R. Asmani, J.I. Haug (Eds.), Unschärfe - Der Umgang mit fehlender Eindeutigkeit, 1st ed., Ferdinand Schöningh, Paderborn, Germany, 2018, pp. 111–128.' date_created: 2018-01-26T14:19:11Z date_updated: 2022-01-06T06:50:56Z ddc: - '004' department: - _id: '36' - _id: '1' - _id: '579' edition: '1' editor: - first_name: Steffen full_name: Freitag, Steffen last_name: Freitag - first_name: Michaela full_name: Geierhos, Michaela last_name: Geierhos - first_name: Rozbeh full_name: Asmani, Rozbeh last_name: Asmani - first_name: Judith I. full_name: Haug, Judith I. last_name: Haug file: - access_level: closed content_type: application/pdf creator: fbaeumer date_created: 2019-01-11T15:39:39Z date_updated: 2019-01-11T15:39:39Z file_id: '6629' file_name: 06_Geierhos.pdf file_size: 1126844 relation: main_file success: 1 file_date_updated: 2019-01-11T15:39:39Z has_accepted_license: '1' language: - iso: ger page: 111-128 place: Paderborn, Germany project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Unschärfe - Der Umgang mit fehlender Eindeutigkeit publication_identifier: isbn: - 978-3-506-78896-2 publication_status: published publisher: Ferdinand Schöningh quality_controlled: '1' series_title: Nordrhein-Westfälische Akademie der Wissenschaften und der Künste - Junges Kolleg status: public title: Unschärfe bei der Interpretation natürlichsprachlicher Anforderungsbeschreibungen type: book_chapter user_id: '13929' year: '2018' ... --- _id: '1181' abstract: - lang: eng text: "The main idea in On-The-Fly Computing is to automatically compose existing software services according to the wishes of end-users. However, since user requirements are often ambiguous, vague and incomplete, the selection and composition of suitable software services is a challanging task. In this paper, we present our current approach to improve requirement descriptions before they are used for software composition. This procedure is fully automated, but also has limitations, for example, if necessary information is missing. In addition, and in response to the limitations, we provide insights into our above-mentioned current work that combines the existing optimization approach with a\r\nchatbot solution." author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In: Schmid K, Spoletini P, Ben Charrada E, et al., eds. Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018). Vol 2075. CEUR Workshop Proceedings. CEUR-WS.org; 2018.' apa: 'Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.' bibtex: '@inproceedings{Bäumer_Geierhos_2018, series={CEUR Workshop Proceedings}, title={How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas}, volume={2075}, booktitle={Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}, publisher={CEUR-WS.org}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and et al.Editors}, year={2018}, collection={CEUR Workshop Proceedings} }' chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas.” In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid, Paola Spoletini, Eya Ben Charrada, Yoram Chisik, Fabiano Dalpiaz, Alessio Ferrari, Peter Forbrig, et al., Vol. 2075. CEUR Workshop Proceedings. CEUR-WS.org, 2018.' ieee: 'F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas,” in Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), Utrecht, The Netherlands, 2018, vol. 2075.' mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas.” Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org, 2018.' short: 'F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.' conference: end_date: 2018-03-19 location: Utrecht, The Netherlands name: 1st Workshop on Natural Language Processing for Requirements Engineering (NLP4RE) start_date: 2018-03-19 date_created: 2018-03-02T09:22:12Z date_updated: 2022-01-06T06:51:09Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' editor: - first_name: Klaus full_name: Schmid, Klaus last_name: Schmid - first_name: Paola full_name: Spoletini, Paola last_name: Spoletini - first_name: Eya full_name: Ben Charrada, Eya last_name: Ben Charrada - first_name: Yoram full_name: Chisik, Yoram last_name: Chisik - first_name: Fabiano full_name: Dalpiaz, Fabiano last_name: Dalpiaz - first_name: Alessio full_name: Ferrari, Alessio last_name: Ferrari - first_name: Peter full_name: Forbrig, Peter last_name: Forbrig - first_name: Xavier full_name: Franch, Xavier last_name: Franch - first_name: Marite full_name: Kirikova, Marite last_name: Kirikova - first_name: Nazim full_name: Madhavji, Nazim last_name: Madhavji - first_name: Cristina full_name: Palomares, Cristina last_name: Palomares - first_name: Jolita full_name: Ralyté, Jolita last_name: Ralyté - first_name: Mehrdad full_name: Sabetzadeh, Mehrdad last_name: Sabetzadeh - first_name: Pete full_name: Sawyer, Pete last_name: Sawyer - first_name: Dirk full_name: van der Linden, Dirk last_name: van der Linden - first_name: Anna full_name: Zamansky, Anna last_name: Zamansky file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T13:52:54Z date_updated: 2018-11-02T13:52:54Z file_id: '5256' file_name: NLP4RE_paper1.pdf file_size: 1126820 relation: main_file success: 1 file_date_updated: 2018-11-02T13:52:54Z has_accepted_license: '1' intvolume: ' 2075' language: - iso: eng main_file_link: - open_access: '1' url: http://ceur-ws.org/Vol-2075/NLP4RE_paper1.pdf oa: '1' project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: 'Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)' publication_identifier: issn: - 1613-0073 publication_status: published publisher: CEUR-WS.org quality_controlled: '1' series_title: CEUR Workshop Proceedings status: public title: How to Deal with Inaccurate Service Requirements? Insights in Our Current Approach and New Ideas type: conference user_id: '477' volume: 2075 year: '2018' ... --- _id: '1182' abstract: - lang: eng text: Natural language requirement descriptions are often unstructured, contradictory and incomplete and are therefore challenging for automatic processing. Although many of these deficits can be compensated by means of Natural Language Processing, there still remain cases where interaction with end-users is necessary for clarification. In this paper, we present our idea of using chatbot technology to establish end-user communication in order to support the automatic compensation of some deficits in natural language requirement descriptions. author: - first_name: Edwin full_name: Friesen, Edwin last_name: Friesen - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Friesen E, Bäumer FS, Geierhos M. CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In: Schmid K, Spoletini P, Ben Charrada E, et al., eds. Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018). Vol 2075. CEUR Workshop Proceedings. CEUR-WS.org; 2018.' apa: 'Friesen, E., Bäumer, F. S., & Geierhos, M. (2018). CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.' bibtex: '@inproceedings{Friesen_Bäumer_Geierhos_2018, series={CEUR Workshop Proceedings}, title={CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface}, volume={2075}, booktitle={Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}, publisher={CEUR-WS.org}, author={Friesen, Edwin and Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and et al.Editors}, year={2018}, collection={CEUR Workshop Proceedings} }' chicago: 'Friesen, Edwin, Frederik Simon Bäumer, and Michaela Geierhos. “CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface.” In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid, Paola Spoletini, Eya Ben Charrada, Yoram Chisik, Fabiano Dalpiaz, Alessio Ferrari, Peter Forbrig, et al., Vol. 2075. CEUR Workshop Proceedings. CEUR-WS.org, 2018.' ieee: 'E. Friesen, F. S. Bäumer, and M. Geierhos, “CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface,” in Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), Utrecht, The Netherlands, 2018, vol. 2075.' mla: 'Friesen, Edwin, et al. “CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface.” Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org, 2018.' short: 'E. Friesen, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.' conference: end_date: 2018-03-19 location: Utrecht, The Netherlands name: 1st Workshop on Natural Language Processing for Requirements Engineering (NLP4RE) start_date: 2018-03-19 date_created: 2018-03-02T09:27:12Z date_updated: 2022-01-06T06:51:10Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' editor: - first_name: 'Klaus ' full_name: 'Schmid, Klaus ' last_name: Schmid - first_name: 'Paola ' full_name: 'Spoletini, Paola ' last_name: Spoletini - first_name: 'Eya ' full_name: 'Ben Charrada, Eya ' last_name: Ben Charrada - first_name: 'Yoram ' full_name: 'Chisik, Yoram ' last_name: Chisik - first_name: 'Fabiano ' full_name: 'Dalpiaz, Fabiano ' last_name: Dalpiaz - first_name: 'Alessio ' full_name: 'Ferrari, Alessio ' last_name: Ferrari - first_name: 'Peter ' full_name: 'Forbrig, Peter ' last_name: Forbrig - first_name: 'Xavier ' full_name: 'Franch, Xavier ' last_name: Franch - first_name: 'Marite ' full_name: 'Kirikova, Marite ' last_name: Kirikova - first_name: 'Nazim ' full_name: 'Madhavji, Nazim ' last_name: Madhavji - first_name: 'Cristina ' full_name: 'Palomares, Cristina ' last_name: Palomares - first_name: 'Jolita ' full_name: 'Ralyté, Jolita ' last_name: Ralyté - first_name: 'Mehrdad ' full_name: 'Sabetzadeh, Mehrdad ' last_name: Sabetzadeh - first_name: 'Pete ' full_name: 'Sawyer, Pete ' last_name: Sawyer - first_name: 'Dirk ' full_name: 'van der Linden, Dirk ' last_name: van der Linden - first_name: 'Anna ' full_name: 'Zamansky, Anna ' last_name: Zamansky file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T14:36:55Z date_updated: 2018-11-02T14:36:55Z file_id: '5276' file_name: NLP4RE_paper3.pdf file_size: 530902 relation: main_file success: 1 file_date_updated: 2018-11-02T14:36:55Z has_accepted_license: '1' intvolume: ' 2075' language: - iso: eng main_file_link: - open_access: '1' url: http://ceur-ws.org/Vol-2075/NLP4RE_paper3.pdf oa: '1' project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: 'Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)' publication_identifier: issn: - 1613-0073 publication_status: published publisher: CEUR-WS.org quality_controlled: '1' series_title: CEUR Workshop Proceedings status: public title: 'CORDULA: Software Requirements Extraction Utilizing Chatbot as Communication Interface' type: conference user_id: '477' volume: 2075 year: '2018' ... --- _id: '1183' abstract: - lang: eng text: "As our world grows in complexity, companies and employees alike need, more than ever before, solutions tailored to their exact needs. Since such tools cannot always be purchased off-the-shelf and need to be designed from the ground up, developers rely on software requirements. In this paper, we present our vision of a syntactic rule-based extraction\r\ntool for software requirements specification documents. In contrast to other methods, our tool will allow stakeholders to express their needs and wishes in unfiltered natural language, which we believe is essential for non-expert users." author: - first_name: Matthew full_name: Caron, Matthew last_name: Caron - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Caron M, Bäumer FS, Geierhos M. Back to Basics: Extracting Software Requirements with a Syntactic Approach. In: Schmid K, Spoletini P, Ben Charrada E, et al., eds. Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018). Vol 2075. CEUR Workshop Proceedings. CEUR-WS.org; 2018.' apa: 'Caron, M., Bäumer, F. S., & Geierhos, M. (2018). Back to Basics: Extracting Software Requirements with a Syntactic Approach. In K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, … A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018) (Vol. 2075). Utrecht, The Netherlands: CEUR-WS.org.' bibtex: '@inproceedings{Caron_Bäumer_Geierhos_2018, series={CEUR Workshop Proceedings}, title={Back to Basics: Extracting Software Requirements with a Syntactic Approach}, volume={2075}, booktitle={Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)}, publisher={CEUR-WS.org}, author={Caron, Matthew and Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Schmid, Klaus and Spoletini, Paola and Ben Charrada, Eya and Chisik, Yoram and Dalpiaz, Fabiano and Ferrari, Alessio and Forbrig, Peter and Franch, Xavier and Kirikova, Marite and Madhavji, Nazim and et al.Editors}, year={2018}, collection={CEUR Workshop Proceedings} }' chicago: 'Caron, Matthew, Frederik Simon Bäumer, and Michaela Geierhos. “Back to Basics: Extracting Software Requirements with a Syntactic Approach.” In Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid, Paola Spoletini, Eya Ben Charrada, Yoram Chisik, Fabiano Dalpiaz, Alessio Ferrari, Peter Forbrig, et al., Vol. 2075. CEUR Workshop Proceedings. CEUR-WS.org, 2018.' ieee: 'M. Caron, F. S. Bäumer, and M. Geierhos, “Back to Basics: Extracting Software Requirements with a Syntactic Approach,” in Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), Utrecht, The Netherlands, 2018, vol. 2075.' mla: 'Caron, Matthew, et al. “Back to Basics: Extracting Software Requirements with a Syntactic Approach.” Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), edited by Klaus Schmid et al., vol. 2075, CEUR-WS.org, 2018.' short: 'M. Caron, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.' conference: end_date: 2018-03-19 location: Utrecht, The Netherlands name: 1st Workshop on Natural Language Processing for Requirements Engineering (NLP4RE) start_date: 2018-03-19 date_created: 2018-03-02T09:28:59Z date_updated: 2022-01-06T06:51:11Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' editor: - first_name: Klaus full_name: Schmid, Klaus last_name: Schmid - first_name: Paola full_name: Spoletini, Paola last_name: Spoletini - first_name: Eya full_name: Ben Charrada, Eya last_name: Ben Charrada - first_name: Yoram full_name: Chisik, Yoram last_name: Chisik - first_name: Fabiano full_name: Dalpiaz, Fabiano last_name: Dalpiaz - first_name: Alessio full_name: Ferrari, Alessio last_name: Ferrari - first_name: Peter full_name: Forbrig, Peter last_name: Forbrig - first_name: Xavier full_name: Franch, Xavier last_name: Franch - first_name: Marite full_name: Kirikova, Marite last_name: Kirikova - first_name: Nazim full_name: Madhavji, Nazim last_name: Madhavji - first_name: Cristina full_name: Palomares, Cristina last_name: Palomares - first_name: Jolita full_name: Ralyté, Jolita last_name: Ralyté - first_name: Mehrdad full_name: Sabetzadeh, Mehrdad last_name: Sabetzadeh - first_name: Pete full_name: Sawyer, Pete last_name: Sawyer - first_name: Dirk full_name: van der Linden, Dirk last_name: van der Linden - first_name: Anna full_name: Zamansky, Anna last_name: Zamansky file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T14:40:58Z date_updated: 2018-11-02T14:40:58Z file_id: '5279' file_name: NLP4RE_paper5.pdf file_size: 254814 relation: main_file success: 1 file_date_updated: 2018-11-02T14:40:58Z has_accepted_license: '1' intvolume: ' 2075' language: - iso: eng main_file_link: - open_access: '1' url: http://ceur-ws.org/Vol-2075/NLP4RE_paper5.pdf oa: '1' project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: 'Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track co-located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018)' publication_identifier: issn: - 1613-0073 publication_status: published publisher: CEUR-WS.org quality_controlled: '1' series_title: CEUR Workshop Proceedings status: public title: 'Back to Basics: Extracting Software Requirements with a Syntactic Approach' type: conference user_id: '477' volume: 2075 year: '2018' ... --- _id: '11710' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Khalid full_name: Al Khatib, Khalid last_name: Al Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Chen W-F, Wachsmuth H, Al Khatib K, Stein B. Learning to Flip the Bias of News Headlines. In: Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics; 2018:79-88.' apa: Chen, W.-F., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88. bibtex: '@inproceedings{Chen_Wachsmuth_Al Khatib_Stein_2018, title={Learning to Flip the Bias of News Headlines}, booktitle={Proceedings of the 11th International Conference on Natural Language Generation}, publisher={Association for Computational Linguistics}, author={Chen, Wei-Fan and Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}, year={2018}, pages={79–88} }' chicago: Chen, Wei-Fan, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Learning to Flip the Bias of News Headlines.” In Proceedings of the 11th International Conference on Natural Language Generation, 79–88. Association for Computational Linguistics, 2018. ieee: W.-F. Chen, H. Wachsmuth, K. Al Khatib, and B. Stein, “Learning to Flip the Bias of News Headlines,” in Proceedings of the 11th International Conference on Natural Language Generation, 2018, pp. 79–88. mla: Chen, Wei-Fan, et al. “Learning to Flip the Bias of News Headlines.” Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88. short: 'W.-F. Chen, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88.' date_created: 2019-07-11T13:13:43Z date_updated: 2022-05-09T15:04:38Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/W18-6509.pdf page: 79-88 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the 11th International Conference on Natural Language Generation publisher: Association for Computational Linguistics status: public title: Learning to Flip the Bias of News Headlines type: conference user_id: '82920' year: '2018' ... --- _id: '14873' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Martin full_name: Potthast, Martin last_name: Potthast citation: ama: 'Chen W-F, Hagen M, Stein B, Potthast M. A User Study on Snippet Generation: Text Reuse vs. Paraphrases. In: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. ; 2018:1033-1036.' apa: 'Chen, W.-F., Hagen, M., Stein, B., & Potthast, M. (2018). A User Study on Snippet Generation: Text Reuse vs. Paraphrases. Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 1033–1036.' bibtex: '@inproceedings{Chen_Hagen_Stein_Potthast_2018, title={A User Study on Snippet Generation: Text Reuse vs. Paraphrases}, booktitle={Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval}, author={Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Potthast, Martin}, year={2018}, pages={1033–1036} }' chicago: 'Chen, Wei-Fan, Matthias Hagen, Benno Stein, and Martin Potthast. “A User Study on Snippet Generation: Text Reuse vs. Paraphrases.” In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 1033–36, 2018.' ieee: 'W.-F. Chen, M. Hagen, B. Stein, and M. Potthast, “A User Study on Snippet Generation: Text Reuse vs. Paraphrases,” in Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–1036.' mla: 'Chen, Wei-Fan, et al. “A User Study on Snippet Generation: Text Reuse vs. Paraphrases.” Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–36.' short: 'W.-F. Chen, M. Hagen, B. Stein, M. Potthast, in: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018, pp. 1033–1036.' date_created: 2019-11-11T09:51:05Z date_updated: 2022-05-09T15:04:59Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://dl.acm.org/doi/pdf/10.1145/3209978.3210149 page: 1033-1036 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval status: public title: 'A User Study on Snippet Generation: Text Reuse vs. Paraphrases' type: conference user_id: '82920' year: '2018' ... --- _id: '14885' author: - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Potthast M, Chen W-F, Hagen M, Stein B. A Plan for Ancillary Copyright: Original Snippets. In: Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval. ; 2018:3-5.' apa: 'Potthast, M., Chen, W.-F., Hagen, M., & Stein, B. (2018). A Plan for Ancillary Copyright: Original Snippets. Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 3–5.' bibtex: '@inproceedings{Potthast_Chen_Hagen_Stein_2018, title={A Plan for Ancillary Copyright: Original Snippets.}, booktitle={Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval}, author={Potthast, Martin and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno}, year={2018}, pages={3–5} }' chicago: 'Potthast, Martin, Wei-Fan Chen, Matthias Hagen, and Benno Stein. “A Plan for Ancillary Copyright: Original Snippets.” In Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 3–5, 2018.' ieee: 'M. Potthast, W.-F. Chen, M. Hagen, and B. Stein, “A Plan for Ancillary Copyright: Original Snippets.,” in Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.' mla: 'Potthast, Martin, et al. “A Plan for Ancillary Copyright: Original Snippets.” Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.' short: 'M. Potthast, W.-F. Chen, M. Hagen, B. Stein, in: Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 2018, pp. 3–5.' date_created: 2019-11-11T12:32:01Z date_updated: 2022-05-09T15:05:42Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://webis.de/downloads/publications/papers/stein_2018b.pdf page: 3-5 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval status: public title: 'A Plan for Ancillary Copyright: Original Snippets.' type: conference user_id: '82920' year: '2018' ... --- _id: '93' abstract: - lang: eng text: "In recent years, there has been a proliferation of technological developments that incorporate processing of human language. Hardware and software can be specialized for designated subject areas, and computational devices are designed for a widening variety of applications. At the same time, new areas and applications are emerging by demanding intelligent technology enhanced by the processing of human language. These new applications often perform tasks which handle information, and they have a capacity to reason, using both formal and human language. Many sub-areas of Artificial Intelligence demand integration of Natural Language Processing, at least to some degree. Furthermore, technologies require coverage of known as well as unknown agents, and tasks with potential variations. All of this takes place in environments with unknown factors.\r\nThe book covers theoretical work, advanced applications, approaches, and techniques for computational models of information, reasoning systems, and presentation in language. The book promotes work on intelligent natural language processing and related models of information, thought, reasoning, and other cognitive processes. The topics covered by the chapters prompt further research and developments of advanced systems in the areas of logic, computability, computational linguistics, cognitive science, neuroscience of language, robotics, and artificial intelligence, among others." author: - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer citation: ama: 'Geierhos M, Bäumer FS. Guesswork? Resolving Vagueness in User-Generated Software Requirements. In: Christiansen H, Jiménez-López MD, Loukanova R, Moss LS, eds. Partiality and Underspecification in Information, Languages, and Knowledge. 1st ed. Newcastle upon Tyne, UK: Cambridge Scholars Publishing; 2017:65-108.' apa: 'Geierhos, M., & Bäumer, F. S. (2017). Guesswork? Resolving Vagueness in User-Generated Software Requirements. In H. Christiansen, M. D. Jiménez-López, R. Loukanova, & L. S. Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge (1st ed., pp. 65–108). Newcastle upon Tyne, UK: Cambridge Scholars Publishing.' bibtex: '@inbook{Geierhos_Bäumer_2017, place={Newcastle upon Tyne, UK}, edition={1}, title={Guesswork? Resolving Vagueness in User-Generated Software Requirements}, booktitle={Partiality and Underspecification in Information, Languages, and Knowledge}, publisher={Cambridge Scholars Publishing}, author={Geierhos, Michaela and Bäumer, Frederik Simon}, editor={Christiansen, Henning and Jiménez-López, M. Dolores and Loukanova, Roussanka and Moss, Lawrence S.Editors}, year={2017}, pages={65–108} }' chicago: 'Geierhos, Michaela, and Frederik Simon Bäumer. “Guesswork? Resolving Vagueness in User-Generated Software Requirements.” In Partiality and Underspecification in Information, Languages, and Knowledge, edited by Henning Christiansen, M. Dolores Jiménez-López, Roussanka Loukanova, and Lawrence S. Moss, 1st ed., 65–108. Newcastle upon Tyne, UK: Cambridge Scholars Publishing, 2017.' ieee: 'M. Geierhos and F. S. Bäumer, “Guesswork? Resolving Vagueness in User-Generated Software Requirements,” in Partiality and Underspecification in Information, Languages, and Knowledge, 1st ed., H. Christiansen, M. D. Jiménez-López, R. Loukanova, and L. S. Moss, Eds. Newcastle upon Tyne, UK: Cambridge Scholars Publishing, 2017, pp. 65–108.' mla: Geierhos, Michaela, and Frederik Simon Bäumer. “Guesswork? Resolving Vagueness in User-Generated Software Requirements.” Partiality and Underspecification in Information, Languages, and Knowledge, edited by Henning Christiansen et al., 1st ed., Cambridge Scholars Publishing, 2017, pp. 65–108. short: 'M. Geierhos, F.S. Bäumer, in: H. Christiansen, M.D. Jiménez-López, R. Loukanova, L.S. Moss (Eds.), Partiality and Underspecification in Information, Languages, and Knowledge, 1st ed., Cambridge Scholars Publishing, Newcastle upon Tyne, UK, 2017, pp. 65–108.' date_created: 2017-10-17T12:41:09Z date_updated: 2022-01-06T07:04:13Z ddc: - '004' department: - _id: '36' - _id: '1' - _id: '579' edition: '1' editor: - first_name: 'Henning ' full_name: 'Christiansen, Henning ' last_name: Christiansen - first_name: M. Dolores full_name: Jiménez-López, M. Dolores last_name: Jiménez-López - first_name: 'Roussanka ' full_name: 'Loukanova, Roussanka ' last_name: Loukanova - first_name: Lawrence S. full_name: Moss, Lawrence S. last_name: Moss file: - access_level: closed content_type: application/pdf creator: fbaeumer date_created: 2019-01-11T11:43:23Z date_updated: 2019-01-11T11:43:23Z file_id: '6625' file_name: CSP_Chapter_GeierhosBaeumer.pdf file_size: 2888473 relation: main_file success: 1 file_date_updated: 2019-01-11T11:43:23Z has_accepted_license: '1' language: - iso: eng page: 65-108 place: Newcastle upon Tyne, UK project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Partiality and Underspecification in Information, Languages, and Knowledge publication_identifier: isbn: - 978-1- 4438-7947-7 publication_status: published publisher: Cambridge Scholars Publishing quality_controlled: '1' status: public title: Guesswork? Resolving Vagueness in User-Generated Software Requirements type: book_chapter user_id: '38837' year: '2017' ...