[{"language":[{"iso":"eng"}],"_id":"45787","project":[{"name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","_id":"9","grant_number":"160364472"},{"_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"}],"department":[{"_id":"600"}],"user_id":"477","status":"public","type":"mastersthesis","title":"Computational Text Professionalization using Neural Sequence-to-Sequence Models","date_updated":"2023-07-05T07:32:50Z","supervisor":[{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"date_created":"2023-06-27T12:51:08Z","author":[{"first_name":"Avishek","full_name":"Mishra, Avishek","last_name":"Mishra"}],"year":"2021","citation":{"mla":"Mishra, Avishek. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence Models</i>. 2021.","bibtex":"@book{Mishra_2021, title={Computational Text Professionalization using Neural Sequence-to-Sequence Models}, author={Mishra, Avishek}, year={2021} }","short":"A. Mishra, Computational Text Professionalization Using Neural Sequence-to-Sequence Models, 2021.","apa":"Mishra, A. (2021). <i>Computational Text Professionalization using Neural Sequence-to-Sequence Models</i>.","ama":"Mishra A. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence Models</i>.; 2021.","chicago":"Mishra, Avishek. <i>Computational Text Professionalization Using Neural Sequence-to-Sequence Models</i>, 2021.","ieee":"A. Mishra, <i>Computational Text Professionalization using Neural Sequence-to-Sequence Models</i>. 2021."}},{"_id":"21178","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"}],"department":[{"_id":"600"}],"user_id":"14972","language":[{"iso":"eng"}],"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","type":"conference","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."}],"status":"public","publisher":"Association for Computational Linguistics","date_updated":"2026-02-23T16:06:41Z","date_created":"2021-02-05T08:00:07Z","author":[{"first_name":"Milad","last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059"},{"first_name":"Wei-Fan","last_name":"Chen","id":"82920","full_name":"Chen, Wei-Fan"},{"last_name":"Gurcke","full_name":"Gurcke, Timon","id":"52174","first_name":"Timon"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"}],"title":"Belief-based Generation of Argumentative Claims","doi":"10.18653/v1/2021.eacl-main.17","conference":{"location":"Online","name":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume"},"main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.17"}],"year":"2021","page":"224-233","citation":{"ieee":"M. Alshomary, W.-F. Chen, T. Gurcke, and H. Wachsmuth, “Belief-based Generation of Argumentative Claims,” in <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Online, 2021, pp. 224–233, doi: <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>.","chicago":"Alshomary, Milad, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. “Belief-Based Generation of Argumentative Claims.” In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–33. Association for Computational Linguistics, 2021. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>.","ama":"Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. In: <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>. Association for Computational Linguistics; 2021:224-233. doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>","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. 224–233.","bibtex":"@inproceedings{Alshomary_Chen_Gurcke_Wachsmuth_2021, title={Belief-based Generation of Argumentative Claims}, DOI={<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>}, 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={224–233} }","mla":"Alshomary, Milad, et al. “Belief-Based Generation of Argumentative Claims.” <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, Association for Computational Linguistics, 2021, pp. 224–33, doi:<a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">10.18653/v1/2021.eacl-main.17</a>.","apa":"Alshomary, M., Chen, W.-F., Gurcke, T., &#38; Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume</i>, 224–233. <a href=\"https://doi.org/10.18653/v1/2021.eacl-main.17\">https://doi.org/10.18653/v1/2021.eacl-main.17</a>"}},{"title":"Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging","date_created":"2020-06-26T14:23:52Z","publisher":"Springer","year":"2020","language":[{"iso":"eng"}],"ddc":["004"],"file":[{"file_size":599881,"access_level":"closed","file_name":"Bäumer et al. (2020), Baeumer2020.pdf .pdf","file_id":"20309","date_updated":"2020-11-07T19:47:30Z","date_created":"2020-11-07T19:47:30Z","creator":"jkers","success":1,"relation":"main_file","content_type":"application/pdf"}],"abstract":[{"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.","lang":"eng"}],"publication":"Information and Software Technologies","doi":"https://doi.org/10.1007/978-3-030-59506-7_30","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"},"volume":1283,"author":[{"last_name":"Bäumer","full_name":"Bäumer, Frederik Simon","id":"38837","first_name":"Frederik Simon"},{"first_name":"Joschka","last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka"},{"full_name":"Buff, Bianca","last_name":"Buff","first_name":"Bianca"},{"id":"42496","full_name":"Geierhos, Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","first_name":"Michaela"}],"date_updated":"2022-01-06T06:53:08Z","page":"368--382","intvolume":"      1283","citation":{"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 <i>Information and Software Technologies</i>, vol. 1283, L. Audrius, B. Rita, G. Daina, and S. Vilma, Eds. Springer, 2020, pp. 368--382.","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 <i>Information and Software Technologies</i>, edited by Lopata Audrius, Butkienė Rita, Gudonienė Daina, and Sukackė Vilma, 1283:368--382. Communications in Computer and Information Science. Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-030-59506-7_30\">https://doi.org/10.1007/978-3-030-59506-7_30</a>.","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. <i>Information and Software Technologies</i>. Vol 1283. Communications in Computer and Information Science. Springer; 2020:368--382. doi:<a href=\"https://doi.org/10.1007/978-3-030-59506-7_30\">https://doi.org/10.1007/978-3-030-59506-7_30</a>","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={<a href=\"https://doi.org/10.1007/978-3-030-59506-7_30\">https://doi.org/10.1007/978-3-030-59506-7_30</a>}, 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} }","mla":"Bäumer, Frederik Simon, et al. “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P News Tagging.” <i>Information and Software Technologies</i>, edited by Lopata Audrius et al., vol. 1283, Springer, 2020, pp. 368--382, doi:<a href=\"https://doi.org/10.1007/978-3-030-59506-7_30\">https://doi.org/10.1007/978-3-030-59506-7_30</a>.","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.","apa":"Bäumer, F. S., Kersting, J., Buff, B., &#38; 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, &#38; S. Vilma (Eds.), <i>Information and Software Technologies</i> (Vol. 1283, pp. 368--382). Kaunas, Litauen: Springer. <a href=\"https://doi.org/10.1007/978-3-030-59506-7_30\">https://doi.org/10.1007/978-3-030-59506-7_30</a>"},"has_accepted_license":"1","publication_status":"published","file_date_updated":"2020-11-07T19:47:30Z","department":[{"_id":"579"},{"_id":"1"},{"_id":"36"}],"series_title":"Communications in Computer and Information Science","user_id":"58701","_id":"17347","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":"Lopata","full_name":"Audrius, Lopata","last_name":"Audrius"},{"first_name":"Butkienė","last_name":"Rita","full_name":"Rita, Butkienė"},{"first_name":"Gudonienė","full_name":"Daina, Gudonienė","last_name":"Daina"},{"last_name":"Vilma","full_name":"Vilma, Sukackė","first_name":"Sukackė"}],"type":"book_chapter"},{"author":[{"last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka","first_name":"Joschka"},{"first_name":"Frederik Simon","id":"38837","full_name":"Bäumer, Frederik Simon","last_name":"Bäumer"}],"date_created":"2020-08-31T10:59:54Z","publisher":"IADIS","date_updated":"2022-01-06T06:53:51Z","conference":{"end_date":"20.11.2020","location":"Lisbon, Portugal","name":"17th International Conference on Applied Computing","start_date":"18.11.2020"},"title":"SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH","has_accepted_license":"1","citation":{"chicago":"Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, 119--123. IADIS, 2020.","ieee":"J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, Lisbon, Portugal, 2020, pp. 119--123.","ama":"Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>. IADIS; 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} }","short":"J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.","mla":"Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, IADIS, 2020, pp. 119--123.","apa":"Kersting, J., &#38; Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, 119--123."},"page":"119--123","year":"2020","user_id":"58701","department":[{"_id":"579"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"_id":"18686","file_date_updated":"2020-11-19T17:29:03Z","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"type":"conference","publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020","file":[{"file_size":1064877,"file_id":"20443","access_level":"closed","file_name":"Kersting & Bäumer (2020), Kersting2020d.pdf","date_updated":"2020-11-19T17:29:03Z","date_created":"2020-11-19T17:29:03Z","creator":"jkers","success":1,"relation":"main_file","content_type":"application/pdf"}],"status":"public"},{"conference":{"location":"Valetta, Malta","name":"International Conference on Agents and Artificial Intelligence (ICAART) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI)"},"author":[{"last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka","first_name":"Joschka"},{"id":"42496","full_name":"Geierhos, Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","first_name":"Michaela"}],"date_updated":"2022-01-06T06:52:29Z","citation":{"chicago":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, 391--400. Setúbal, Portugal: SCITEPRESS, 2020.","ieee":"J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, Valetta, Malta, 2020, pp. 391--400.","ama":"Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>. Setúbal, Portugal: SCITEPRESS; 2020:391--400.","apa":"Kersting, J., &#38; Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i> (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} }","mla":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, 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."},"page":"391--400","place":"Setúbal, Portugal","has_accepted_license":"1","file_date_updated":"2020-09-18T09:27:00Z","user_id":"58701","department":[{"_id":"579"}],"project":[{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"_id":"15580","status":"public","type":"conference","title":"Aspect Phrase Extraction in Sentiment Analysis with Deep Learning","date_created":"2020-01-15T08:35:07Z","publisher":"SCITEPRESS","year":"2020","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Deep Learning","Natural Language Processing","Aspect-based Sentiment Analysis"],"file":[{"creator":"jkers","date_created":"2020-09-18T09:27:00Z","date_updated":"2020-09-18T09:27:00Z","file_name":"Kersting & Geierhos (2020), Kersting2020.pdf","access_level":"closed","file_id":"19576","file_size":421780,"content_type":"application/pdf","relation":"main_file","success":1}],"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."}],"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)"},{"page":"630--637","citation":{"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} }","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.","mla":"Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)</i>, SCITEPRESS, 2020, pp. 630--637.","apa":"Buff, B., Kersting, J., &#38; Geierhos, M. (2020). Detection of Privacy Disclosure in the Medical Domain: A Survey. In <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)</i> (pp. 630--637). Setúbal, Portugal: SCITEPRESS.","ama":"Buff B, Kersting J, Geierhos M. Detection of Privacy Disclosure in the Medical Domain: A Survey. In: <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)</i>. Setúbal, Portugal: SCITEPRESS; 2020:630--637.","ieee":"B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in the Medical Domain: A Survey,” in <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)</i>, Valetta, Malta, 2020, pp. 630--637.","chicago":"Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” In <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)</i>, 630--637. Setúbal, Portugal: SCITEPRESS, 2020."},"place":"Setúbal, Portugal","has_accepted_license":"1","conference":{"name":"International Conference on Pattern Recognition Applications and Methods (ICPRAM)","location":"Valetta, Malta"},"author":[{"first_name":"Bianca","full_name":"Buff, Bianca","last_name":"Buff"},{"id":"58701","full_name":"Kersting, Joschka","last_name":"Kersting","first_name":"Joschka"},{"full_name":"Geierhos, Michaela","id":"42496","last_name":"Geierhos","orcid":"0000-0002-8180-5606","first_name":"Michaela"}],"date_updated":"2022-01-06T06:52:30Z","status":"public","type":"conference","file_date_updated":"2020-09-18T09:25:30Z","department":[{"_id":"579"}],"user_id":"58701","_id":"15582","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"year":"2020","title":"Detection of Privacy Disclosure in the Medical Domain: A Survey","date_created":"2020-01-15T08:49:25Z","publisher":"SCITEPRESS","file":[{"creator":"jkers","date_created":"2020-09-18T09:25:30Z","date_updated":"2020-09-18T09:25:30Z","access_level":"closed","file_id":"19574","file_name":"Buff et al. (2020), Buff2020.pdf","file_size":287956,"content_type":"application/pdf","relation":"main_file","success":1}],"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."}],"publication":"Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)","language":[{"iso":"eng"}],"keyword":["Identity Disclosure","Privacy Protection","Physician Review Website","De-Anonymization","Medical Domain"],"ddc":["000"]},{"language":[{"iso":"eng"}],"ddc":["000"],"file":[{"file_size":464976,"file_id":"19582","file_name":"Kersting & Geierhos (2020b), Kersting2020b.pdf","access_level":"closed","date_updated":"2020-09-18T09:39:08Z","creator":"jkers","date_created":"2020-09-18T09:39:08Z","success":1,"relation":"main_file","content_type":"application/pdf"}],"publication":"Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference","title":"Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis","date_created":"2020-01-24T09:10:09Z","publisher":"AAAI","year":"2020","file_date_updated":"2020-09-18T09:39:08Z","user_id":"58701","department":[{"_id":"579"}],"project":[{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B1","_id":"9"},{"_id":"1","name":"SFB 901"}],"_id":"15635","status":"public","type":"conference","conference":{"name":"The 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference","start_date":"2020-05-17","end_date":"2020-05-20","location":"North Miami Beach, FL, USA"},"author":[{"first_name":"Joschka","full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting"},{"id":"42496","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","first_name":"Michaela"}],"date_updated":"2022-01-06T06:52:31Z","citation":{"ama":"Kersting J, Geierhos M. Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In: <i>Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i>. North Miami Beach, FL, USA: AAAI; 2020:282--285.","chicago":"Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” In <i>Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i>, 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 <i>Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i>, 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.” <i>Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i>, AAAI, 2020, pp. 282--285.","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} }","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.","apa":"Kersting, J., &#38; Geierhos, M. (2020). Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In <i>Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference</i> (pp. 282--285). North Miami Beach, FL, USA: AAAI."},"page":"282--285","place":"North Miami Beach, FL, USA","has_accepted_license":"1"},{"language":[{"iso":"eng"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"15025","user_id":"15415","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"},{"_id":"63"},{"_id":"238"}],"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."}],"status":"public","type":"journal_article","publication":"Evolutionary Computation","title":"Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets","doi":"10.1162/evco_a_00266","date_updated":"2022-01-06T06:52:15Z","publisher":"MIT Press Journals","author":[{"full_name":"Wever, Marcel Dominik","id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik"},{"id":"58843","full_name":"van Rooijen, Lorijn","last_name":"van Rooijen","first_name":"Lorijn"},{"first_name":"Heiko","full_name":"Hamann, Heiko","last_name":"Hamann"}],"date_created":"2019-11-18T14:19:19Z","volume":28,"year":"2020","citation":{"ieee":"M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets,” <i>Evolutionary Computation</i>, vol. 28, no. 2, pp. 165–193, 2020, doi: <a href=\"https://doi.org/10.1162/evco_a_00266\">10.1162/evco_a_00266</a>.","chicago":"Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” <i>Evolutionary Computation</i> 28, no. 2 (2020): 165–193. <a href=\"https://doi.org/10.1162/evco_a_00266\">https://doi.org/10.1162/evco_a_00266</a>.","ama":"Wever MD, van Rooijen L, Hamann H. Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. <i>Evolutionary Computation</i>. 2020;28(2):165–193. doi:<a href=\"https://doi.org/10.1162/evco_a_00266\">10.1162/evco_a_00266</a>","mla":"Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” <i>Evolutionary Computation</i>, vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:<a href=\"https://doi.org/10.1162/evco_a_00266\">10.1162/evco_a_00266</a>.","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={<a href=\"https://doi.org/10.1162/evco_a_00266\">10.1162/evco_a_00266</a>}, 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} }","short":"M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020) 165–193.","apa":"Wever, M. D., van Rooijen, L., &#38; Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. <i>Evolutionary Computation</i>, <i>28</i>(2), 165–193. <a href=\"https://doi.org/10.1162/evco_a_00266\">https://doi.org/10.1162/evco_a_00266</a>"},"page":"165–193","intvolume":"        28","publication_status":"published","issue":"2","related_material":{"link":[{"url":"https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00266","relation":"confirmation"}]}},{"status":"public","type":"conference","file_date_updated":"2020-09-18T09:27:41Z","user_id":"58701","department":[{"_id":"579"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"15256","citation":{"chicago":"Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” In <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods</i>, 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 <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods</i>, Valetta, Malta, 2020, pp. 263--272.","ama":"Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In: <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods</i>. Setúbal, Portugal: SCITEPRESS; 2020:263--272.","apa":"Kersting, J., &#38; Geierhos, M. (2020). What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods</i> (pp. 263--272). Setúbal, Portugal: SCITEPRESS.","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.","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} }","mla":"Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” <i>Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods</i>, SCITEPRESS, 2020, pp. 263--272."},"page":"263--272","place":"Setúbal, Portugal","has_accepted_license":"1","conference":{"name":"International Conference on Pattern Recognition Applications and Methods (ICPRAM)","location":"Valetta, Malta"},"author":[{"first_name":"Joschka","full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting"},{"id":"42496","full_name":"Geierhos, Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","first_name":"Michaela"}],"date_updated":"2022-01-06T06:52:19Z","file":[{"date_updated":"2020-09-18T09:27:41Z","creator":"jkers","date_created":"2020-09-18T09:27:41Z","file_size":963370,"access_level":"closed","file_name":"Kersting & Geierhos (2020c), Kersting2020c.pdf","file_id":"19577","content_type":"application/pdf","success":1,"relation":"main_file"}],"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."}],"publication":"Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Customer Reviews","Sentiment Analysis","Online Labour Markets"],"year":"2020","title":"What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers","date_created":"2019-12-06T13:09:42Z","publisher":"SCITEPRESS"},{"ddc":["004"],"language":[{"iso":"eng"}],"file":[{"file_name":"Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf","file_id":"15311","access_level":"closed","file_size":454532,"date_created":"2019-12-12T10:24:47Z","creator":"ups","date_updated":"2019-12-12T10:24:47Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"publication":"Business & Information Systems Engineering","title":"A Case for a New IT Ecosystem: On-The-Fly Computing","publisher":"Springer","date_created":"2019-10-10T13:41:06Z","year":"2020","issue":"6","file_date_updated":"2019-12-12T10:24:47Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_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"},{"name":"SFB 901 - Subproject A4","_id":"8"},{"name":"SFB 901 - Subproject B1","_id":"9"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"name":"SFB 901 - Subproject B3","_id":"11"},{"_id":"12","name":"SFB 901 - Subproject B4"},{"name":"SFB 901 - Subproject C1","_id":"13"},{"_id":"14","name":"SFB 901 - Subproject C2"},{"name":"SFB 901 - Subproject C3","_id":"15"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"name":"SFB 901 - Subproject C5","_id":"17"},{"name":"SFB 901 -Subproject T1","_id":"83"},{"_id":"84","name":"SFB 901 -Subproject T2"},{"_id":"107","name":"SFB 901 -Subproject T3"},{"_id":"158","name":"SFB 901 - T4: SFB 901 -Subproject T4"}],"_id":"13770","user_id":"477","department":[{"_id":"276"},{"_id":"75"},{"_id":"63"},{"_id":"77"}],"status":"public","type":"journal_article","doi":"10.1007/s12599-019-00627-x","date_updated":"2022-12-02T09:27:17Z","author":[{"last_name":"Karl","id":"126","full_name":"Karl, Holger","first_name":"Holger"},{"last_name":"Kundisch","full_name":"Kundisch, Dennis","id":"21117","first_name":"Dennis"},{"id":"15523","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide","first_name":"Friedhelm"},{"last_name":"Wehrheim","full_name":"Wehrheim, Heike","id":"573","first_name":"Heike"}],"volume":62,"citation":{"apa":"Karl, H., Kundisch, D., Meyer auf der Heide, F., &#38; Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. <i>Business &#38; Information Systems Engineering</i>, <i>62</i>(6), 467–481. <a href=\"https://doi.org/10.1007/s12599-019-00627-x\">https://doi.org/10.1007/s12599-019-00627-x</a>","mla":"Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.” <i>Business &#38; Information Systems Engineering</i>, vol. 62, no. 6, Springer, 2020, pp. 467–81, doi:<a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>.","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={<a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>}, number={6}, journal={Business &#38; 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} }","short":"H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &#38; Information Systems Engineering 62 (2020) 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.” <i>Business &#38; Information Systems Engineering</i> 62, no. 6 (2020): 467–81. <a href=\"https://doi.org/10.1007/s12599-019-00627-x\">https://doi.org/10.1007/s12599-019-00627-x</a>.","ieee":"H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for a New IT Ecosystem: On-The-Fly Computing,” <i>Business &#38; Information Systems Engineering</i>, vol. 62, no. 6, pp. 467–481, 2020, doi: <a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>.","ama":"Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT Ecosystem: On-The-Fly Computing. <i>Business &#38; Information Systems Engineering</i>. 2020;62(6):467-481. doi:<a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>"},"page":"467-481","intvolume":"        62","publication_status":"published","has_accepted_license":"1"},{"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":"3776","user_id":"82920","department":[{"_id":"600"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science","status":"public","date_updated":"2022-05-09T15:03:31Z","author":[{"last_name":"Chen","id":"82920","full_name":"Chen, Wei-Fan","first_name":"Wei-Fan"},{"full_name":"Al-Khatib, Khalid","last_name":"Al-Khatib","first_name":"Khalid"},{"last_name":"Wachsmuth","id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"}],"date_created":"2018-08-02T11:40:56Z","title":"Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity","main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf"}],"year":"2020","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: <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>. ; 2020:149-154.","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 <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 2020, pp. 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 <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 149–54, 2020.","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} }","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.","mla":"Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 2020, pp. 149–54.","apa":"Chen, W.-F., Al-Khatib, K., Wachsmuth, H., &#38; Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 149–154."},"page":"149-154"},{"date_updated":"2022-05-09T15:03:11Z","date_created":"2020-10-20T13:00:06Z","author":[{"last_name":"Syed","full_name":"Syed, Shahbaz","first_name":"Shahbaz"},{"last_name":"Chen","full_name":"Chen, Wei-Fan","id":"82920","first_name":"Wei-Fan"},{"full_name":"Hagen, Matthias","last_name":"Hagen","first_name":"Matthias"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"},{"last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900","first_name":"Henning"},{"last_name":"Potthast","full_name":"Potthast, Martin","first_name":"Martin"}],"title":"Task Proposal: Abstractive Snippet Generation for Web Pages","main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.inlg-1.30.pdf"}],"year":"2020","citation":{"apa":"Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &#38; Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 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} }","mla":"Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web Pages.” <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 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.","ama":"Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>. ; 2020:237-241.","chicago":"Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 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 <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 2020, pp. 237–241."},"page":"237-241","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"_id":"20137","user_id":"82920","department":[{"_id":"600"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)","status":"public"},{"main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf"}],"title":"Detecting Media Bias in News Articles using Gaussian Bias Distributions","date_created":"2018-08-02T13:38:46Z","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","full_name":"Stein, Benno","last_name":"Stein"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth"}],"date_updated":"2022-05-09T15:00:46Z","page":"4290-4300","citation":{"apa":"Chen, W.-F., Al-Khatib, K., Stein, B., &#38; Wachsmuth, H. 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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. "}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_name":"Bäumer et al. 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