[{"date_updated":"2024-04-30T12:41:14Z","oa":"1","author":[{"first_name":"Joschka","full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting"},{"first_name":"Falk","full_name":"Maoro, Falk","last_name":"Maoro"},{"first_name":"Michaela","last_name":"Geierhos","full_name":"Geierhos, Michaela"}],"volume":148,"main_file_link":[{"url":" https://doi.org/10.1016/j.datak.2023.102235 ","open_access":"1"}],"doi":"10.1016/j.datak.2023.102235","publication_status":"published","publication_identifier":{"issn":["0169-023X"]},"has_accepted_license":"1","citation":{"ieee":"J. Kersting, F. Maoro, and M. Geierhos, “Towards comparable ratings: Exploring bias in German physician reviews,” <i>Data &#38; Knowledge Engineering</i>, vol. 148, Art. no. 102235, 2023, doi: <a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>.","chicago":"Kersting, Joschka, Falk Maoro, and Michaela Geierhos. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” <i>Data &#38; Knowledge Engineering</i> 148 (2023). <a href=\"https://doi.org/10.1016/j.datak.2023.102235\">https://doi.org/10.1016/j.datak.2023.102235</a>.","ama":"Kersting J, Maoro F, Geierhos M. Towards comparable ratings: Exploring bias in German physician reviews. <i>Data &#38; Knowledge Engineering</i>. 2023;148. doi:<a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>","mla":"Kersting, Joschka, et al. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” <i>Data &#38; Knowledge Engineering</i>, vol. 148, 102235, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>.","short":"J. Kersting, F. Maoro, M. Geierhos, Data &#38; Knowledge Engineering 148 (2023).","bibtex":"@article{Kersting_Maoro_Geierhos_2023, title={Towards comparable ratings: Exploring bias in German physician reviews}, volume={148}, DOI={<a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>}, number={102235}, journal={Data &#38; Knowledge Engineering}, publisher={Elsevier}, author={Kersting, Joschka and Maoro, Falk and Geierhos, Michaela}, year={2023} }","apa":"Kersting, J., Maoro, F., &#38; Geierhos, M. (2023). Towards comparable ratings: Exploring bias in German physician reviews. <i>Data &#38; Knowledge Engineering</i>, <i>148</i>, Article 102235. <a href=\"https://doi.org/10.1016/j.datak.2023.102235\">https://doi.org/10.1016/j.datak.2023.102235</a>"},"intvolume":"       148","project":[{"_id":"1","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","grant_number":"160364472"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","grant_number":"160364472"}],"_id":"53801","user_id":"58701","department":[{"_id":"579"}],"article_type":"original","article_number":"102235","funded_apc":"1","file_date_updated":"2024-04-30T12:34:35Z","type":"journal_article","status":"public","publisher":"Elsevier","date_created":"2024-04-30T12:30:56Z","title":"Towards comparable ratings: Exploring bias in German physician reviews","year":"2023","ddc":["004"],"keyword":["Language model fairness","Aspect phrase classification","Grade prediction","Physician reviews"],"language":[{"iso":"eng"}],"publication":"Data & Knowledge Engineering","abstract":[{"text":"In this study, we evaluate the impact of gender-biased data from German-language physician reviews on the fairness of fine-tuned language models. For two different downstream tasks, we use data reported to be gender biased and aggregate it with annotations. First, we propose a new approach to aspect-based sentiment analysis that allows identifying, extracting, and classifying implicit and explicit aspect phrases and their polarity within a single model. The second task we present is grade prediction, where we predict the overall grade of a review on the basis of the review text. For both tasks, we train numerous transformer models and evaluate their performance. The aggregation of sensitive attributes, such as a physician’s gender and migration background, with individual text reviews allows us to measure the performance of the models with respect to these sensitive groups. These group-wise performance measures act as extrinsic bias measures for our downstream tasks. In addition, we translate several gender-specific templates of the intrinsic bias metrics into the German language and evaluate our fine-tuned models. Based on this set of tasks, fine-tuned models, and intrinsic and extrinsic bias measures, we perform correlation analyses between intrinsic and extrinsic bias measures. In terms of sensitive groups and effect sizes, our bias measure results show different directions. Furthermore, correlations between measures of intrinsic and extrinsic bias can be observed in different directions. This leads us to conclude that gender-biased data does not inherently lead to biased models. Other variables, such as template dependency for intrinsic measures and label distribution in the data, must be taken into account as they strongly influence the metric results. Therefore, we suggest that metrics and templates should be chosen according to the given task and the biases to be assessed. ","lang":"eng"}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_id":"53802","file_name":"Kersting 2023.pdf","access_level":"closed","file_size":1381398,"creator":"jkers","date_created":"2024-04-30T12:34:35Z","date_updated":"2024-04-30T12:34:35Z"}],"license":"https://creativecommons.org/licenses/by/4.0/"},{"title":"On-The-Fly Computing -- Individualized IT-services in dynamic markets","date_created":"2023-07-05T07:16:51Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","year":"2023","language":[{"iso":"eng"}],"ddc":["000"],"file":[{"file_id":"45864","file_name":"SFB-Buch-Final.pdf","access_level":"open_access","file_size":15480050,"date_created":"2023-07-05T07:15:55Z","creator":"ups","date_updated":"2023-07-05T07:19:14Z","relation":"main_file","content_type":"application/pdf"}],"abstract":[{"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.","lang":"eng"}],"doi":"10.17619/UNIPB/1-1797","author":[{"last_name":"Haake","id":"20801","full_name":"Haake, Claus-Jochen","first_name":"Claus-Jochen"},{"full_name":"Meyer auf der Heide, Friedhelm","id":"15523","last_name":"Meyer auf der Heide","first_name":"Friedhelm"},{"first_name":"Marco","last_name":"Platzner","id":"398","full_name":"Platzner, Marco"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"},{"first_name":"Heike","last_name":"Wehrheim","id":"573","full_name":"Wehrheim, Heike"}],"volume":412,"date_updated":"2024-07-12T12:07:59Z","oa":"1","citation":{"apa":"Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., &#38; Wehrheim, H. (2023). <i>On-The-Fly Computing -- Individualized IT-services in dynamic markets</i> (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-1797\">https://doi.org/10.17619/UNIPB/1-1797</a>","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={<a href=\"https://doi.org/10.17619/UNIPB/1-1797\">10.17619/UNIPB/1-1797</a>}, 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} }","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.","mla":"Haake, Claus-Jochen, et al. <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1797\">10.17619/UNIPB/1-1797</a>.","ama":"Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>. Vol 412. Heinz Nixdorf Institut, Universität Paderborn; 2023. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1797\">10.17619/UNIPB/1-1797</a>","chicago":"Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. <a href=\"https://doi.org/10.17619/UNIPB/1-1797\">https://doi.org/10.17619/UNIPB/1-1797</a>.","ieee":"C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, <i>On-The-Fly Computing -- Individualized IT-services in dynamic markets</i>, vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023."},"page":"247","intvolume":"       412","place":"Paderborn","publication_identifier":{"unknown":["978-3-947647-31-6"]},"has_accepted_license":"1","alternative_title":["Collaborative Research Centre 901 (2011 – 2023)"],"file_date_updated":"2023-07-05T07:19:14Z","user_id":"1112","series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","department":[{"_id":"7"},{"_id":"78"},{"_id":"26"}],"project":[{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"},{"_id":"2","name":"SFB 901 - A: SFB 901 - Project Area A"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - T: SFB 901 - Project Area T","_id":"82"},{"grant_number":"160364472","_id":"5","name":"SFB 901 - A1: SFB 901 - Möglichkeiten und Grenzen lokaler Strategien in dynamischen Netzen (Subproject A1)"},{"name":"SFB 901 - A3: SFB 901 - Der Markt für Services: Anreize, Algorithmen, Implementation (Subproject A3)","_id":"7","grant_number":"160364472"},{"grant_number":"160364472","_id":"8","name":"SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen (Subproject A4)"},{"grant_number":"160364472","_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)"},{"name":"SFB 901 - B2: Konfiguration und Bewertung (B02)","_id":"10","grant_number":"160364472"},{"name":"SFB 901 - B3: SFB 901 - Subproject B3","_id":"11"},{"name":"SFB 901 - B4: SFB 901 - Subproject B4","_id":"12"},{"grant_number":"160364472","name":"SFB 901 - C1: SFB 901 - Subproject C1","_id":"13"},{"_id":"14","name":"SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen (Subproject C2)","grant_number":"160364472"},{"grant_number":"160364472","name":"SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter Dienste in konfigurierbaren Rechenzentren (Subproject C4)","_id":"16"},{"name":"SFB 901 - C5: SFB 901 - Subproject C5","_id":"17"},{"name":"SFB 901 - T1: SFB 901 -Subproject T1","_id":"83"},{"_id":"84","name":"SFB 901 - T2: SFB 901 -Subproject T2","grant_number":"160364472"}],"_id":"45863","status":"public","type":"book"},{"publisher":"Universität der Bundeswehr München ","date_updated":"2023-07-03T12:29:50Z","author":[{"first_name":"Joschka","full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting"}],"supervisor":[{"id":"42496","full_name":"Geierhos, Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","first_name":"Michaela"}],"date_created":"2023-05-02T12:54:00Z","title":"Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining","publication_status":"published","related_material":{"link":[{"relation":"supplementary_material","url":"https://athene-forschung.unibw.de/145003"}]},"year":"2023","place":"Neubiberg","citation":{"ieee":"J. Kersting, <i>Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining</i>. Neubiberg: Universität der Bundeswehr München , 2023.","chicago":"Kersting, Joschka. <i>Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining</i>. Neubiberg: Universität der Bundeswehr München , 2023.","ama":"Kersting J. <i>Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining</i>. Universität der Bundeswehr München ; 2023.","apa":"Kersting, J. (2023). <i>Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining</i>. 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} }","mla":"Kersting, Joschka. <i>Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining</i>. Universität der Bundeswehr München , 2023.","short":"J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining, Universität der Bundeswehr München , Neubiberg, 2023."},"page":"208","project":[{"grant_number":"160364472","_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1","grant_number":"160364472"}],"_id":"44323","user_id":"58701","department":[{"_id":"579"},{"_id":"7"}],"language":[{"iso":"ger"}],"type":"dissertation","abstract":[{"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.","lang":"eng"}],"status":"public"},{"title":"Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation","publisher":"Heinz Nixdorf Institut, Universität Paderborn","date_created":"2023-07-07T07:29:13Z","year":"2023","ddc":["004"],"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","date_created":"2023-07-07T07:28:58Z","creator":"florida","date_updated":"2023-07-07T11:20:52Z","file_id":"45883","file_name":"B1-Chapter-SFB-Buch-Final.pdf","access_level":"open_access","file_size":1342718}],"publication":"On-The-Fly Computing -- Individualized IT-services in dynamic markets","doi":"10.5281/zenodo.8068456","date_updated":"2023-07-07T11:20:52Z","oa":"1","volume":412,"author":[{"full_name":"Bäumer, Frederik Simon","id":"38837","last_name":"Bäumer","first_name":"Frederik Simon"},{"first_name":"Wei-Fan","id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen"},{"id":"42496","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","first_name":"Michaela"},{"last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka","first_name":"Joschka"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"place":"Paderborn","page":"65-84","intvolume":"       412","citation":{"apa":"Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., &#38; 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, &#38; H. Wehrheim (Eds.), <i>On-The-Fly Computing -- Individualized IT-services in dynamic markets</i> (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität Paderborn. <a href=\"https://doi.org/10.5281/zenodo.8068456\">https://doi.org/10.5281/zenodo.8068456</a>","mla":"Bäumer, Frederik Simon, et al. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.” <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84, doi:<a href=\"https://doi.org/10.5281/zenodo.8068456\">10.5281/zenodo.8068456</a>.","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={<a href=\"https://doi.org/10.5281/zenodo.8068456\">10.5281/zenodo.8068456</a>}, 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} }","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.","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. <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84. doi:<a href=\"https://doi.org/10.5281/zenodo.8068456\">10.5281/zenodo.8068456</a>","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 <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>, 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. <a href=\"https://doi.org/10.5281/zenodo.8068456\">https://doi.org/10.5281/zenodo.8068456</a>.","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 <i>On-The-Fly Computing -- Individualized IT-services in dynamic markets</i>, 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."},"has_accepted_license":"1","file_date_updated":"2023-07-07T11:20:52Z","_id":"45882","project":[{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","grant_number":"160364472"}],"department":[{"_id":"7"},{"_id":"369"}],"user_id":"477","series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","editor":[{"full_name":"Haake, Claus-Jochen","last_name":"Haake","first_name":"Claus-Jochen"},{"first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide"},{"full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"},{"full_name":"Wehrheim, Heike","last_name":"Wehrheim","first_name":"Heike"}],"status":"public","type":"book_chapter"},{"type":"book_chapter","status":"public","editor":[{"full_name":"Cuzzocrea, Alfredo","last_name":"Cuzzocrea","first_name":"Alfredo"},{"first_name":"Oleg","full_name":"Gusikhin, Oleg","last_name":"Gusikhin"},{"last_name":"Hammoudi","full_name":"Hammoudi, Slimane","first_name":"Slimane"},{"first_name":"Christoph","last_name":"Quix","full_name":"Quix, Christoph"}],"department":[{"_id":"579"}],"user_id":"58701","series_title":"Communications in Computer and Information Science","_id":"46205","project":[{"_id":"1","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","grant_number":"160364472"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","grant_number":"160364472"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"}],"file_date_updated":"2023-07-28T15:10:48Z","has_accepted_license":"1","publication_identifier":{"isbn":["9783031378898","9783031378904"],"issn":["1865-0929","1865-0937"]},"publication_status":"published","page":"45-65","intvolume":"      1860","citation":{"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.","mla":"Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” <i>Data Management Technologies and Applications</i>, edited by Alfredo Cuzzocrea et al., vol. 1860, Springer Nature Switzerland, 2023, pp. 45–65, doi:<a href=\"https://doi.org/10.1007/978-3-031-37890-4_3\">10.1007/978-3-031-37890-4_3</a>.","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={<a href=\"https://doi.org/10.1007/978-3-031-37890-4_3\">10.1007/978-3-031-37890-4_3</a>}, 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} }","apa":"Kersting, J., &#38; Geierhos, M. (2023). Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, &#38; C. Quix (Eds.), <i>Data Management Technologies and Applications</i> (Vol. 1860, pp. 45–65). Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-37890-4_3\">https://doi.org/10.1007/978-3-031-37890-4_3</a>","ama":"Kersting J, Geierhos M. Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In: Cuzzocrea A, Gusikhin O, Hammoudi S, Quix C, eds. <i>Data Management Technologies and Applications</i>. Vol 1860. Communications in Computer and Information Science. Springer Nature Switzerland; 2023:45-65. doi:<a href=\"https://doi.org/10.1007/978-3-031-37890-4_3\">10.1007/978-3-031-37890-4_3</a>","chicago":"Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” In <i>Data Management Technologies and Applications</i>, 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. <a href=\"https://doi.org/10.1007/978-3-031-37890-4_3\">https://doi.org/10.1007/978-3-031-37890-4_3</a>.","ieee":"J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in <i>Data Management Technologies and Applications</i>, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65."},"place":"Cham","volume":1860,"author":[{"last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka","first_name":"Joschka"},{"orcid":"0000-0002-8180-5606","last_name":"Geierhos","id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"date_updated":"2023-07-28T15:11:10Z","doi":"10.1007/978-3-031-37890-4_3","publication":"Data Management Technologies and Applications","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"46207","file_name":"Kersting and Geierhos (2023), Kersting2023b.pdf","file_size":746336,"creator":"jkers","date_created":"2023-07-28T15:10:48Z","date_updated":"2023-07-28T15:10:48Z"}],"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."}],"language":[{"iso":"eng"}],"ddc":["004"],"year":"2023","date_created":"2023-07-28T15:03:14Z","publisher":"Springer Nature Switzerland","title":"Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews"},{"year":"2022","page":"51 - 61","citation":{"ama":"Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. In: <i>Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)</i>. ; 2022:51-61.","ieee":"W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific Argument Structures in Learner Essays,” in <i>Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)</i>, 2022, pp. 51–61.","chicago":"Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing Culture-Specific Argument Structures in Learner Essays.” In <i>Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)</i>, 51–61, 2022.","apa":"Chen, W.-F., Chen, M.-H., Mudgal, G., &#38; Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. <i>Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)</i>, 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} }","mla":"Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” <i>Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)</i>, 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_updated":"2022-11-18T09:56:17Z","author":[{"first_name":"Wei-Fan","id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen"},{"first_name":"Mei-Hua","last_name":"Chen","full_name":"Chen, Mei-Hua"},{"last_name":"Mudgal","full_name":"Mudgal, Garima","first_name":"Garima"},{"first_name":"Henning","id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"date_created":"2022-09-06T13:51:23Z","title":"Analyzing Culture-Specific Argument Structures in Learner Essays","publication":"Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)","type":"conference","status":"public","_id":"33274","project":[{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"},{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"}],"department":[{"_id":"600"}],"user_id":"477","language":[{"iso":"eng"}]},{"ddc":["004"],"keyword":["On-The-Fly Computing","Chatbot","Knowledge Base"],"language":[{"iso":"eng"}],"publication":"HCI International 2022 Posters","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."}],"file":[{"content_type":"application/pdf","relation":"main_file","success":1,"date_created":"2022-11-28T13:21:32Z","creator":"jkers","date_updated":"2022-11-28T13:21:32Z","file_name":"Kersting et al. (2022), Kersting2022.pdf","file_id":"34150","access_level":"closed","file_size":1153017}],"publisher":"Springer International Publishing","date_created":"2022-06-27T09:27:06Z","title":"Chatbot-Enhanced Requirements Resolution for Automated Service Compositions","year":"2022","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"_id":"32179","user_id":"58701","series_title":"Communications in Computer and Information Science (CCIS)","department":[{"_id":"579"}],"file_date_updated":"2022-11-28T13:21:32Z","type":"book_chapter","editor":[{"full_name":"Stephanidis, Constantine","last_name":"Stephanidis","first_name":"Constantine"},{"last_name":"Antona","full_name":"Antona, Margherita","first_name":"Margherita"},{"full_name":"Ntoa, Stavroula","last_name":"Ntoa","first_name":"Stavroula"}],"status":"public","date_updated":"2022-11-28T13:22:16Z","author":[{"first_name":"Joschka","last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701"},{"last_name":"Ahmed","full_name":"Ahmed, Mobeen","first_name":"Mobeen"},{"last_name":"Geierhos","orcid":"0000-0002-8180-5606","id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"volume":1580,"conference":{"name":"24th International Conference on Human-Computer Interaction (HCII 2022)","start_date":"2022-06-26","end_date":"2022-07-01","location":"Virtual"},"doi":"10.1007/978-3-031-06417-3_56","publication_status":"published","has_accepted_license":"1","publication_identifier":{"issn":["1865-0929","1865-0937"],"isbn":["9783031064166","9783031064173"]},"related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-06417-3_56","relation":"confirmation"}]},"place":"Cham, Switzerland","citation":{"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.","mla":"Kersting, Joschka, et al. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” <i>HCI International 2022 Posters</i>, edited by Constantine Stephanidis et al., vol. 1580, Springer International Publishing, 2022, pp. 419--426, doi:<a href=\"https://doi.org/10.1007/978-3-031-06417-3_56\">10.1007/978-3-031-06417-3_56</a>.","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={<a href=\"https://doi.org/10.1007/978-3-031-06417-3_56\">10.1007/978-3-031-06417-3_56</a>}, 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)} }","apa":"Kersting, J., Ahmed, M., &#38; Geierhos, M. (2022). Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In C. Stephanidis, M. Antona, &#38; S. Ntoa (Eds.), <i>HCI International 2022 Posters</i> (Vol. 1580, pp. 419--426). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-06417-3_56\">https://doi.org/10.1007/978-3-031-06417-3_56</a>","chicago":"Kersting, Joschka, Mobeen Ahmed, and Michaela Geierhos. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” In <i>HCI International 2022 Posters</i>, 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. <a href=\"https://doi.org/10.1007/978-3-031-06417-3_56\">https://doi.org/10.1007/978-3-031-06417-3_56</a>.","ieee":"J. Kersting, M. Ahmed, and M. Geierhos, “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions,” in <i>HCI International 2022 Posters</i>, vol. 1580, C. Stephanidis, M. Antona, and S. Ntoa, Eds. Cham, Switzerland: Springer International Publishing, 2022, pp. 419--426.","ama":"Kersting J, Ahmed M, Geierhos M. Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In: Stephanidis C, Antona M, Ntoa S, eds. <i>HCI International 2022 Posters</i>. Vol 1580. Communications in Computer and Information Science (CCIS). Springer International Publishing; 2022:419--426. doi:<a href=\"https://doi.org/10.1007/978-3-031-06417-3_56\">10.1007/978-3-031-06417-3_56</a>"},"page":"419--426","intvolume":"      1580"},{"year":"2022","publisher":"IARIA","date_created":"2022-05-04T08:12:09Z","title":"Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis","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","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."}],"file":[{"date_updated":"2022-12-01T13:39:48Z","creator":"jkers","date_created":"2022-12-01T13:39:48Z","file_size":155548,"file_id":"34172","file_name":"Kersting & Bäumer (2022), Kersting2022.pdf","access_level":"closed","content_type":"application/pdf","success":1,"relation":"main_file"}],"ddc":["006"],"keyword":["Sentiment analysis","Natural language processing","Aspect phrase extraction"],"language":[{"iso":"eng"}],"publication_status":"published","has_accepted_license":"1","place":"Barcelona, Spain","citation":{"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} }","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.","mla":"Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” <i>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</i>, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.","apa":"Kersting, J., &#38; Bäumer, F. S. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), <i>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</i> (pp. 5–9). IARIA.","ama":"Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In: Kersting J, ed. <i>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</i>. IARIA; 2022:5-9.","chicago":"Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” In <i>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</i>, 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 <i>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</i>, Barcelona, Spain, 2022, pp. 5–9."},"page":"5-9","date_updated":"2022-12-01T13:40:11Z","author":[{"full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting","first_name":"Joschka"},{"last_name":"Bäumer","id":"38837","full_name":"Bäumer, Frederik Simon","first_name":"Frederik Simon"}],"conference":{"name":"The Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022)","start_date":"2022-03","location":"Barcelona, Spain"},"type":"conference","editor":[{"first_name":"Joschka","full_name":"Kersting, Joschka","last_name":"Kersting"}],"status":"public","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"_id":"31054","user_id":"58701","file_date_updated":"2022-12-01T13:39:48Z"},{"author":[{"full_name":"Chen, Mei-Hua","last_name":"Chen","first_name":"Mei-Hua"},{"full_name":"Mudgal, Garima","last_name":"Mudgal","first_name":"Garima"},{"first_name":"Wei-Fan","id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"date_created":"2022-05-05T07:50:21Z","date_updated":"2022-05-09T14:58:39Z","title":"Investigating the argumentation structures of EFL learners from diverse language backgrounds","citation":{"apa":"Chen, M.-H., Mudgal, G., Chen, W.-F., &#38; Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. <i>EUROCALL</i>.","short":"M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.","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} }","mla":"Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” <i>EUROCALL</i>, 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 <i>EUROCALL</i>, 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.","ama":"Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: <i>EUROCALL</i>. ; 2022."},"year":"2022","user_id":"82920","department":[{"_id":"600"}],"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"_id":"31068","language":[{"iso":"eng"}],"type":"conference_abstract","publication":"EUROCALL","status":"public"},{"file":[{"file_size":4578901,"access_level":"closed","file_id":"53804","file_name":"patterns_2022_full.pdf","date_updated":"2024-04-30T14:01:07Z","creator":"jkers","date_created":"2024-04-30T14:01:07Z","success":1,"relation":"main_file","content_type":"application/pdf"}],"ddc":["004"],"language":[{"iso":"eng"}],"year":"2022","title":"PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications","publisher":"IARIA","date_created":"2024-04-30T14:02:14Z","editor":[{"first_name":"Joschka","last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701"}],"status":"public","type":"conference_editor","file_date_updated":"2024-04-30T14:01:07Z","_id":"53803","project":[{"name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","_id":"9","grant_number":"160364472"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"}],"department":[{"_id":"579"}],"user_id":"58701","place":"Barcelona, Spain","citation":{"apa":"Kersting, J. (Ed.). (2022). <i>PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications</i>. IARIA.","short":"J. Kersting, ed., PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications, IARIA, Barcelona, Spain, 2022.","bibtex":"@book{Kersting_2022, place={Barcelona, Spain}, title={PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications}, publisher={IARIA}, year={2022} }","mla":"Kersting, Joschka, editor. <i>PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications</i>. IARIA, 2022.","ama":"Kersting J, ed. <i>PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications</i>. IARIA; 2022.","chicago":"Kersting, Joschka, ed. <i>PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications</i>. Barcelona, Spain: IARIA, 2022.","ieee":"J. Kersting, Ed., <i>PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications</i>. Barcelona, Spain: IARIA, 2022."},"has_accepted_license":"1","publication_identifier":{"unknown":["978-1-61208-953-9"]},"publication_status":"published","conference":{"name":"The Fourteenth International Conferences on Pervasive Patterns and Applications -- PATTERNS 2022","start_date":"2022-04-24","end_date":"2022-04-28","location":"Barcelona, Spain"},"main_file_link":[{"open_access":"1","url":"https://www.thinkmind.org/index.php?view=instance&instance=PATTERNS+2022"}],"oa":"1","date_updated":"2024-04-30T14:05:40Z"},{"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"29000","user_id":"58701","department":[{"_id":"600"}],"ddc":["004"],"file_date_updated":"2023-05-02T13:25:27Z","language":[{"iso":"eng"}],"type":"mastersthesis","abstract":[{"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.","lang":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","success":1,"date_created":"2023-05-02T13:25:27Z","creator":"jkers","date_updated":"2023-05-02T13:25:27Z","access_level":"closed","file_name":"Thesis-Report-MOBEEN-AHMED-6856465-Knowledge_Base_Enhanced___User_centric_Dialogue_Design_for_OTFComputing.pdf","file_id":"44325","file_size":3092211}],"status":"public","date_updated":"2023-05-02T13:25:45Z","date_created":"2021-12-16T15:13:07Z","author":[{"last_name":"Ahmed","full_name":"Ahmed, Mobeen","first_name":"Mobeen"}],"supervisor":[{"id":"58701","full_name":"Kersting, Joschka","last_name":"Kersting","first_name":"Joschka"}],"title":"Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing","publication_status":"published","has_accepted_license":"1","year":"2022","citation":{"ieee":"M. Ahmed, <i>Knowledge Base Enhanced &#38; User-centric Dialogue Design for OTF Computing</i>. 2022.","chicago":"Ahmed, Mobeen. <i>Knowledge Base Enhanced &#38; User-Centric Dialogue Design for OTF Computing</i>, 2022.","ama":"Ahmed M. <i>Knowledge Base Enhanced &#38; User-Centric Dialogue Design for OTF Computing</i>.; 2022.","apa":"Ahmed, M. (2022). <i>Knowledge Base Enhanced &#38; User-centric Dialogue Design for OTF Computing</i>.","mla":"Ahmed, Mobeen. <i>Knowledge Base Enhanced &#38; User-Centric Dialogue Design for OTF Computing</i>. 2022.","short":"M. Ahmed, Knowledge Base Enhanced &#38; User-Centric Dialogue Design for OTF Computing, 2022.","bibtex":"@book{Ahmed_2022, title={Knowledge Base Enhanced &#38; User-centric Dialogue Design for OTF Computing}, author={Ahmed, Mobeen}, year={2022} }"}},{"_id":"45790","project":[{"grant_number":"160364472","_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)"},{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"}],"department":[{"_id":"600"}],"user_id":"477","language":[{"iso":"eng"}],"type":"bachelorsthesis","status":"public","date_updated":"2023-07-05T07:31:17Z","author":[{"last_name":"Palushi","full_name":"Palushi, Juela","first_name":"Juela"}],"supervisor":[{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"date_created":"2023-06-27T12:57:57Z","title":"Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks","year":"2022","citation":{"mla":"Palushi, Juela. <i>Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks</i>. 2022.","short":"J. Palushi, Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.","bibtex":"@book{Palushi_2022, title={Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks}, author={Palushi, Juela}, year={2022} }","apa":"Palushi, J. (2022). <i>Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks</i>.","ama":"Palushi J. <i>Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks</i>.; 2022.","ieee":"J. Palushi, <i>Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks</i>. 2022.","chicago":"Palushi, Juela. <i>Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks</i>, 2022."}},{"year":"2022","citation":{"bibtex":"@book{Budanurmath_2022, title={Propaganda Technique Detection Using Connotation Frames}, author={Budanurmath, Vinaykumar}, year={2022} }","short":"V. Budanurmath, Propaganda Technique Detection Using Connotation Frames, 2022.","mla":"Budanurmath, Vinaykumar. <i>Propaganda Technique Detection Using Connotation Frames</i>. 2022.","apa":"Budanurmath, V. (2022). <i>Propaganda Technique Detection Using Connotation Frames</i>.","ama":"Budanurmath V. <i>Propaganda Technique Detection Using Connotation Frames</i>.; 2022.","ieee":"V. Budanurmath, <i>Propaganda Technique Detection Using Connotation Frames</i>. 2022.","chicago":"Budanurmath, Vinaykumar. <i>Propaganda Technique Detection Using Connotation Frames</i>, 2022."},"date_updated":"2023-07-05T07:33:45Z","author":[{"first_name":"Vinaykumar","full_name":"Budanurmath, Vinaykumar","last_name":"Budanurmath"}],"date_created":"2023-06-27T12:56:04Z","supervisor":[{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"title":"Propaganda Technique Detection Using Connotation Frames","type":"mastersthesis","status":"public","_id":"45789","project":[{"_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","grant_number":"160364472"},{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"}],"department":[{"_id":"600"}],"user_id":"477","language":[{"iso":"eng"}]},{"has_accepted_license":"1","citation":{"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.","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} }","mla":"Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, IADIS, 2021, pp. 221--225.","apa":"Bäumer, F. S., Kersting, J., Denisov, S., &#38; Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, 221--225.","ieee":"F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, Lisbon, Portugal, 2021, pp. 221--225.","chicago":"Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, 221--225. IADIS, 2021.","ama":"Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In: <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>. IADIS; 2021:221--225."},"page":"221--225","year":"2021","date_created":"2021-10-11T15:26:58Z","author":[{"first_name":"Frederik Simon","last_name":"Bäumer","full_name":"Bäumer, Frederik Simon"},{"last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka","first_name":"Joschka"},{"first_name":"Sergej","full_name":"Denisov, Sergej","last_name":"Denisov"},{"first_name":"Michaela","full_name":"Geierhos, Michaela","id":"42496","orcid":"0000-0002-8180-5606","last_name":"Geierhos"}],"date_updated":"2022-01-06T06:57:16Z","publisher":"IADIS","conference":{"end_date":"15.10.2021","location":"Lisbon, Portugal","name":"18th International Conference on Applied Computing","start_date":"13.10.2021"},"title":"IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING","type":"conference","publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021","file":[{"date_updated":"2021-10-15T15:54:41Z","date_created":"2021-10-15T15:54:41Z","creator":"jkers","file_size":411667,"access_level":"closed","file_name":"Bäumer et al. (2021), Baeumer2021.pdf","file_id":"26282","content_type":"application/pdf","success":1,"relation":"main_file"}],"status":"public","abstract":[{"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.","lang":"eng"}],"user_id":"58701","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"_id":"26049","file_date_updated":"2021-10-15T15:54:41Z","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"]},{"file_date_updated":"2021-04-08T08:14:05Z","department":[{"_id":"579"}],"series_title":"Studies in Computational Intelligence (SCI)","user_id":"58701","_id":"17905","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"status":"public","editor":[{"first_name":"Roussanka","full_name":"Loukanova, Roussanka","last_name":"Loukanova"}],"type":"book_chapter","doi":"10.1007/978-3-030-63787-3_6","volume":939,"author":[{"last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701","first_name":"Joschka"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","id":"42496","full_name":"Geierhos, Michaela"}],"date_updated":"2022-01-06T06:53:23Z","intvolume":"       939","page":"163--189 ","citation":{"ama":"Kersting J, Geierhos M. Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In: Loukanova R, ed. <i>Natural Language Processing in Artificial Intelligence -- NLPinAI 2020</i>. Vol 939. Studies in Computational Intelligence (SCI). Cham: Springer; 2021:163--189. doi:<a href=\"https://doi.org/10.1007/978-3-030-63787-3_6\">10.1007/978-3-030-63787-3_6</a>","chicago":"Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” In <i>Natural Language Processing in Artificial Intelligence -- NLPinAI 2020</i>, edited by Roussanka Loukanova, 939:163--189. Studies in Computational Intelligence (SCI). Cham: Springer, 2021. <a href=\"https://doi.org/10.1007/978-3-030-63787-3_6\">https://doi.org/10.1007/978-3-030-63787-3_6</a>.","ieee":"J. Kersting and M. Geierhos, “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks,” in <i>Natural Language Processing in Artificial Intelligence -- NLPinAI 2020</i>, vol. 939, R. Loukanova, Ed. Cham: Springer, 2021, pp. 163--189.","apa":"Kersting, J., &#38; Geierhos, M. (2021). Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In R. Loukanova (Ed.), <i>Natural Language Processing in Artificial Intelligence -- NLPinAI 2020</i> (Vol. 939, pp. 163--189). Cham: Springer. <a href=\"https://doi.org/10.1007/978-3-030-63787-3_6\">https://doi.org/10.1007/978-3-030-63787-3_6</a>","short":"J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, Cham, 2021, pp. 163--189.","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={<a href=\"https://doi.org/10.1007/978-3-030-63787-3_6\">10.1007/978-3-030-63787-3_6</a>}, 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)} }","mla":"Kersting, Joschka, and Michaela Geierhos. “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.” <i>Natural Language Processing in Artificial Intelligence -- NLPinAI 2020</i>, edited by Roussanka Loukanova, vol. 939, Springer, 2021, pp. 163--189, doi:<a href=\"https://doi.org/10.1007/978-3-030-63787-3_6\">10.1007/978-3-030-63787-3_6</a>."},"place":"Cham","has_accepted_license":"1","publication_identifier":{"unknown":["978-3-030-63786-6 ; 978-3-030-63787-3"]},"publication_status":"published","language":[{"iso":"eng"}],"ddc":["000"],"file":[{"file_name":"Kersting-Geierhos2021_Chapter_TowardsAspectExtractionAndClas.pdf","file_id":"21594","access_level":"closed","file_size":512065,"creator":"jkers","date_created":"2021-04-08T08:14:05Z","date_updated":"2021-04-08T08:14:05Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"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. "}],"publication":"Natural Language Processing in Artificial Intelligence -- NLPinAI 2020","title":"Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks","date_created":"2020-08-13T09:29:52Z","publisher":"Springer","year":"2021"},{"title":"Well-being in Plastic Surgery: Deep Learning Reveals Patients' Evaluations","conference":{"start_date":"2021-07-06","name":"10th International Conference on Data Science, Technology and Applications (DATA 2021)","location":"Online","end_date":"2021-07-08"},"date_updated":"2022-01-06T06:55:23Z","publisher":"SCITEPRESS","author":[{"first_name":"Joschka","last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka"},{"first_name":"Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","id":"42496"}],"date_created":"2021-05-07T16:27:27Z","year":"2021","place":"Online","citation":{"chicago":"Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” In <i>Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)</i>, 275--284. Online: SCITEPRESS, 2021.","ieee":"J. Kersting and M. Geierhos, “Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations,” in <i>Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)</i>, Online, 2021, pp. 275--284.","ama":"Kersting J, Geierhos M. Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations. In: <i>Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)</i>. SCITEPRESS; 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} }","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.","mla":"Kersting, Joschka, and Michaela Geierhos. “Well-Being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations.” <i>Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)</i>, SCITEPRESS, 2021, pp. 275--284.","apa":"Kersting, J., &#38; Geierhos, M. (2021). Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations. <i>Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)</i>, 275--284."},"page":"275--284","publication_status":"published","language":[{"iso":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"22051","user_id":"58701","department":[{"_id":"579"}],"status":"public","type":"conference","publication":"Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021)"},{"conference":{"start_date":"2021-06-23","name":"26th International Conference on Natural Language & Information Systems (NLDB 2021)","location":"Saarbrücken, Germany","end_date":"2021-06-25"},"volume":12801,"author":[{"first_name":"Joschka","last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka"},{"first_name":"Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","id":"42496"}],"date_updated":"2022-07-14T08:00:56Z","intvolume":"     12801","page":"231--242","citation":{"apa":"Kersting, J., &#38; Geierhos, M. (2021). Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In E. Kapetanios, H. Horacek, E. Métais, &#38; F. Meziane (Eds.), <i>Natural Language Processing and Information Systems</i> (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} }","mla":"Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” <i>Natural Language Processing and Information Systems</i>, 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.","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. <i>Natural Language Processing and Information Systems</i>. Vol 12801. Lecture Notes in Computer Science. Springer; 2021:231--242.","ieee":"J. Kersting and M. Geierhos, “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting,” in <i>Natural Language Processing and Information Systems</i>, vol. 12801, E. Kapetanios, H. Horacek, E. Métais, and F. Meziane, Eds. Saarbrücken, Germany: Springer, 2021, pp. 231--242.","chicago":"Kersting, Joschka, and Michaela Geierhos. “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting.” In <i>Natural Language Processing and Information Systems</i>, edited by Epaminondas Kapetanios, Helmut Horacek, Elisabeth Métais, and Farid Meziane, 12801:231--242. Lecture Notes in Computer Science. Saarbrücken, Germany: Springer, 2021."},"place":"Saarbrücken, Germany","has_accepted_license":"1","publication_status":"published","file_date_updated":"2022-07-14T08:00:35Z","department":[{"_id":"579"}],"user_id":"58701","series_title":"Lecture Notes in Computer Science","_id":"22052","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"status":"public","editor":[{"first_name":"Epaminondas","last_name":"Kapetanios","full_name":"Kapetanios, Epaminondas"},{"last_name":"Horacek","full_name":"Horacek, Helmut","first_name":"Helmut"},{"last_name":"Métais","full_name":"Métais, Elisabeth","first_name":"Elisabeth"},{"full_name":"Meziane, Farid","last_name":"Meziane","first_name":"Farid"}],"type":"book_chapter","title":"Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting","date_created":"2021-05-07T16:31:05Z","publisher":"Springer","year":"2021","language":[{"iso":"eng"}],"ddc":["004"],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_name":"Kersting & Geierhos (2021b), Kersting2021b.pdf","access_level":"closed","file_id":"32362","file_size":506329,"creator":"jkers","date_created":"2022-07-14T08:00:35Z","date_updated":"2022-07-14T08:00:35Z"}],"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."}],"publication":"Natural Language Processing and Information Systems"},{"title":"Controlled Neural Sentence-Level Reframing of News Articles","main_file_link":[{"url":"https://aclanthology.org/2021.findings-emnlp.228.pdf"}],"date_updated":"2022-05-09T15:00:09Z","date_created":"2021-09-02T20:09:20Z","author":[{"full_name":"Chen, Wei-Fan","id":"82920","last_name":"Chen","first_name":"Wei-Fan"},{"full_name":"Al Khatib, Khalid","last_name":"Al Khatib","first_name":"Khalid"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth","first_name":"Henning"}],"year":"2021","page":"2683 - 2693","citation":{"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} }","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.","mla":"Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2021, pp. 2683–93.","apa":"Chen, W.-F., Al Khatib, K., Stein, B., &#38; Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2683–2693.","ama":"Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>. ; 2021:2683-2693.","ieee":"W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural Sentence-Level Reframing of News Articles,” in <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2021, pp. 2683–2693.","chicago":"Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, 2683–93, 2021."},"language":[{"iso":"eng"}],"_id":"23709","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"department":[{"_id":"600"}],"user_id":"82920","status":"public","publication":"Findings of the Association for Computational Linguistics: EMNLP 2021","type":"conference"},{"citation":{"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={<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>}, 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} }","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.","mla":"Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” <i>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)</i>, Association for Computational Linguistics, 2021, pp. 1816–1827, doi:<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>.","apa":"Alshomary, M., Syed, S., Potthast, M., &#38; Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. <i>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)</i>, 1816–1827. <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">https://doi.org/10.18653/v1/2021.findings-acl.159</a>","ama":"Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In: <i>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)</i>. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:<a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>","chicago":"Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” In <i>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)</i>, 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021. <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">https://doi.org/10.18653/v1/2021.findings-acl.159</a>.","ieee":"M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises,” in <i>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)</i>, Online, 2021, pp. 1816–1827, doi: <a href=\"https://doi.org/10.18653/v1/2021.findings-acl.159\">10.18653/v1/2021.findings-acl.159</a>."},"page":"1816–1827","year":"2021","date_created":"2021-05-26T07:06:18Z","author":[{"id":"73059","full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad"},{"full_name":"Syed, Shahbaz","last_name":"Syed","first_name":"Shahbaz"},{"first_name":"Martin","full_name":"Potthast, Martin","last_name":"Potthast"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"date_updated":"2022-05-09T15:06:36Z","publisher":"Association for Computational Linguistics","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.159.pdf"}],"conference":{"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)","location":"Online"},"doi":"10.18653/v1/2021.findings-acl.159","title":"Argument Undermining: Counter-Argument Generation by Attacking Weak Premises","type":"conference","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)","status":"public","user_id":"82920","series_title":"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021","department":[{"_id":"600"}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"_id":"22229","language":[{"iso":"eng"}]},{"type":"mastersthesis","status":"public","project":[{"grant_number":"160364472","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","_id":"9"},{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"}],"_id":"45788","user_id":"477","department":[{"_id":"600"}],"language":[{"iso":"eng"}],"year":"2021","citation":{"ama":"Bülling J. <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>.; 2021.","chicago":"Bülling, Jonas. <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>, 2021.","ieee":"J. Bülling, <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>. 2021.","apa":"Bülling, J. (2021). <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>.","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} }","mla":"Bülling, Jonas. <i>Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump</i>. 2021.","short":"J. Bülling, Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump, 2021."},"date_updated":"2023-07-05T07:32:18Z","date_created":"2023-06-27T12:54:30Z","supervisor":[{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"author":[{"first_name":"Jonas","last_name":"Bülling","full_name":"Bülling, Jonas"}],"title":"Political Speaker Transfer: Learning to Generate Text in the Styles of Barack Obama and Donald Trump"}]