[{"project":[{"name":"TRR 318 - INF: TRR 318 - Project Area INF","_id":"118"}],"abstract":[{"lang":"eng","text":"As AI is more and more pervasive in everyday life, humans have an increasing demand to understand its behavior and decisions. Most research on explainable AI builds on the premise that there is one ideal explanation to be found. In fact, however, everyday explanations are co-constructed in a dialogue between the person explaining (the explainer) and the specific person being explained to (the explainee). In this paper, we introduce a first corpus of dialogical explanations to enable NLP research on how humans explain as well as on how AI can learn to imitate this process. The corpus consists of 65 transcribed English dialogues from the Wired video series 5 Levels, explaining 13 topics to five explainees of different proficiency. All 1550 dialogue turns have been manually labeled by five independent professionals for the topic discussed as well as for the dialogue act and the explanation move performed. We analyze linguistic patterns of explainers and explainees, and we explore differences across proficiency levels. BERT-based baseline results indicate that sequence information helps predicting topics, acts, and moves effectively."}],"citation":{"ieee":"H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,” in <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 2022, pp. 344–354.","apa":"Wachsmuth, H., &#38; Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, &#38; S.-H. Na (Eds.), <i>Proceedings of the 29th International Conference on Computational Linguistics</i> (pp. 344–354). International Committee on Computational Linguistics.","chicago":"Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” In <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, edited by Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, et al., 344–354. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.","short":"H. Wachsmuth, M. Alshomary, in: N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T.K. Lee, E. Santus, F. Bond, S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 344–354.","mla":"Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, edited by Nicoletta Calzolari et al., International Committee on Computational Linguistics, 2022, pp. 344–354.","bibtex":"@inproceedings{Wachsmuth_Alshomary_2022, place={Gyeongju, Republic of Korea}, title={“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations}, booktitle={Proceedings of the 29th International Conference on Computational Linguistics}, publisher={International Committee on Computational Linguistics}, author={Wachsmuth, Henning and Alshomary, Milad}, editor={Calzolari, Nicoletta and Huang, Chu-Ren and Kim, Hansaem and Pustejovsky, James and Wanner, Leo and Choi, Key-Sun and Ryu, Pum-Mo and Chen, Hsin-Hsi and Donatelli, Lucia and Ji, Heng and et al.}, year={2022}, pages={344–354} }","ama":"Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In: Calzolari N, Huang C-R, Kim H, et al., eds. <i>Proceedings of the 29th International Conference on Computational Linguistics</i>. International Committee on Computational Linguistics; 2022:344–354."},"publication":"Proceedings of the 29th International Conference on Computational Linguistics","department":[{"_id":"600"},{"_id":"660"}],"type":"conference","place":"Gyeongju, Republic of Korea","date_created":"2024-07-22T13:05:42Z","date_updated":"2024-07-26T13:05:45Z","author":[{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"},{"id":"73059","full_name":"Alshomary, Milad","first_name":"Milad","last_name":"Alshomary"}],"title":"“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations","status":"public","year":"2022","editor":[{"full_name":"Calzolari, Nicoletta","last_name":"Calzolari","first_name":"Nicoletta"},{"last_name":"Huang","first_name":"Chu-Ren","full_name":"Huang, Chu-Ren"},{"last_name":"Kim","first_name":"Hansaem","full_name":"Kim, Hansaem"},{"last_name":"Pustejovsky","first_name":"James","full_name":"Pustejovsky, James"},{"full_name":"Wanner, Leo","last_name":"Wanner","first_name":"Leo"},{"last_name":"Choi","first_name":"Key-Sun","full_name":"Choi, Key-Sun"},{"full_name":"Ryu, Pum-Mo","last_name":"Ryu","first_name":"Pum-Mo"},{"last_name":"Chen","first_name":"Hsin-Hsi","full_name":"Chen, Hsin-Hsi"},{"full_name":"Donatelli, Lucia","last_name":"Donatelli","first_name":"Lucia"},{"full_name":"Ji, Heng","last_name":"Ji","first_name":"Heng"},{"first_name":"Sadao","last_name":"Kurohashi","full_name":"Kurohashi, Sadao"},{"last_name":"Paggio","first_name":"Patrizia","full_name":"Paggio, Patrizia"},{"first_name":"Nianwen","last_name":"Xue","full_name":"Xue, Nianwen"},{"first_name":"Seokhwan","last_name":"Kim","full_name":"Kim, Seokhwan"},{"full_name":"Hahm, Younggyun","first_name":"Younggyun","last_name":"Hahm"},{"last_name":"He","first_name":"Zhong","full_name":"He, Zhong"},{"full_name":"Lee, Tony Kyungil","first_name":"Tony Kyungil","last_name":"Lee"},{"first_name":"Enrico","last_name":"Santus","full_name":"Santus, Enrico"},{"first_name":"Francis","last_name":"Bond","full_name":"Bond, Francis"},{"full_name":"Na, Seung-Hoon","last_name":"Na","first_name":"Seung-Hoon"}],"user_id":"3900","language":[{"iso":"eng"}],"_id":"55337","publisher":"International Committee on Computational Linguistics","page":"344–354"},{"type":"conference","department":[{"_id":"600"},{"_id":"660"}],"date_created":"2022-11-14T08:49:07Z","project":[{"_id":"127","name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens"}],"publication":"Proceedings of the 2022 Workshop on Figurative Language Processing","citation":{"mla":"Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>, 2022.","bibtex":"@inproceedings{Sengupta_Alshomary_Wachsmuth_2022, title={Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning}, booktitle={Proceedings of the 2022 Workshop on Figurative Language Processing}, author={Sengupta, Meghdut and Alshomary, Milad and Wachsmuth, Henning}, year={2022} }","ama":"Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>. ; 2022.","ieee":"M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.","apa":"Sengupta, M., Alshomary, M., &#38; Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>.","chicago":"Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>, 2022.","short":"M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022."},"user_id":"3900","_id":"34067","language":[{"iso":"eng"}],"date_updated":"2024-07-26T13:08:46Z","status":"public","title":"Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning","year":"2022","author":[{"full_name":"Sengupta, Meghdut","last_name":"Sengupta","first_name":"Meghdut","id":"99459"},{"full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad","id":"73059"},{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"}]},{"file":[{"relation":"main_file","date_updated":"2023-05-02T13:25:27Z","file_name":"Thesis-Report-MOBEEN-AHMED-6856465-Knowledge_Base_Enhanced___User_centric_Dialogue_Design_for_OTFComputing.pdf","file_size":3092211,"access_level":"closed","file_id":"44325","content_type":"application/pdf","success":1,"creator":"jkers","date_created":"2023-05-02T13:25:27Z"}],"date_created":"2021-12-16T15:13:07Z","type":"mastersthesis","department":[{"_id":"600"}],"file_date_updated":"2023-05-02T13:25:27Z","citation":{"mla":"Ahmed, Mobeen. <i>Knowledge Base Enhanced &#38; User-Centric Dialogue Design for OTF Computing</i>. 2022.","bibtex":"@book{Ahmed_2022, title={Knowledge Base Enhanced &#38; User-centric Dialogue Design for OTF Computing}, author={Ahmed, Mobeen}, year={2022} }","ama":"Ahmed M. <i>Knowledge Base Enhanced &#38; User-Centric Dialogue Design for OTF Computing</i>.; 2022.","ieee":"M. Ahmed, <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>.","chicago":"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."},"supervisor":[{"full_name":"Kersting, Joschka","last_name":"Kersting","first_name":"Joschka","id":"58701"}],"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"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"language":[{"iso":"eng"}],"_id":"29000","user_id":"58701","ddc":["004"],"status":"public","title":"Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing","year":"2022","author":[{"first_name":"Mobeen","last_name":"Ahmed","full_name":"Ahmed, Mobeen"}],"publication_status":"published","date_updated":"2023-05-02T13:25:45Z","has_accepted_license":"1"},{"project":[{"name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","grant_number":"160364472","_id":"9"},{"grant_number":"160364472","_id":"1","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"}],"citation":{"ama":"Palushi J. <i>Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks</i>.; 2022.","bibtex":"@book{Palushi_2022, title={Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks}, author={Palushi, Juela}, year={2022} }","mla":"Palushi, Juela. <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.","short":"J. Palushi, Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.","apa":"Palushi, J. (2022). <i>Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks</i>.","ieee":"J. Palushi, <i>Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks</i>. 2022."},"supervisor":[{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"}],"type":"bachelorsthesis","department":[{"_id":"600"}],"date_created":"2023-06-27T12:57:57Z","date_updated":"2023-07-05T07:31:17Z","year":"2022","status":"public","title":"Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks","author":[{"last_name":"Palushi","first_name":"Juela","full_name":"Palushi, Juela"}],"user_id":"477","_id":"45790","language":[{"iso":"eng"}]},{"department":[{"_id":"600"}],"type":"mastersthesis","date_created":"2023-06-27T12:56:04Z","project":[{"grant_number":"160364472","_id":"9","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)"},{"_id":"1","grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"}],"citation":{"short":"V. Budanurmath, Propaganda Technique Detection Using Connotation Frames, 2022.","chicago":"Budanurmath, Vinaykumar. <i>Propaganda Technique Detection Using Connotation Frames</i>, 2022.","apa":"Budanurmath, V. (2022). <i>Propaganda Technique Detection Using Connotation Frames</i>.","ieee":"V. Budanurmath, <i>Propaganda Technique Detection Using Connotation Frames</i>. 2022.","ama":"Budanurmath V. <i>Propaganda Technique Detection Using Connotation Frames</i>.; 2022.","bibtex":"@book{Budanurmath_2022, title={Propaganda Technique Detection Using Connotation Frames}, author={Budanurmath, Vinaykumar}, year={2022} }","mla":"Budanurmath, Vinaykumar. <i>Propaganda Technique Detection Using Connotation Frames</i>. 2022."},"supervisor":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}],"user_id":"477","language":[{"iso":"eng"}],"_id":"45789","date_updated":"2023-07-05T07:33:45Z","author":[{"full_name":"Budanurmath, Vinaykumar","first_name":"Vinaykumar","last_name":"Budanurmath"}],"status":"public","year":"2022","title":"Propaganda Technique Detection Using Connotation Frames"},{"date_updated":"2025-02-20T08:22:16Z","author":[{"full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad","id":"73059"},{"first_name":"Jonas","last_name":"Rieskamp","full_name":"Rieskamp, Jonas","id":"77643"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}],"title":"Generating Contrastive Snippets for Argument Search","year":"2022","status":"public","doi":"http://dx.doi.org/10.3233/FAIA220138","user_id":"3900","_id":"32247","language":[{"iso":"eng"}],"page":"21 - 31","project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"citation":{"bibtex":"@inproceedings{Alshomary_Rieskamp_Wachsmuth_2022, title={Generating Contrastive Snippets for Argument Search}, DOI={<a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>}, booktitle={Proceedings of the 9th International Conference on Computational Models of Argument}, author={Alshomary, Milad and Rieskamp, Jonas and Wachsmuth, Henning}, year={2022}, pages={21–31} }","short":"M. Alshomary, J. Rieskamp, H. Wachsmuth, in: Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31.","ama":"Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In: <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>. ; 2022:21-31. doi:<a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>","chicago":"Alshomary, Milad, Jonas Rieskamp, and Henning Wachsmuth. “Generating Contrastive Snippets for Argument Search.” In <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 21–31, 2022. <a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>.","ieee":"M. Alshomary, J. Rieskamp, and H. Wachsmuth, “Generating Contrastive Snippets for Argument Search,” in <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 2022, pp. 21–31, doi: <a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>.","mla":"Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.” <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 2022, pp. 21–31, doi:<a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>.","apa":"Alshomary, M., Rieskamp, J., &#38; Wachsmuth, H. (2022). Generating Contrastive Snippets for Argument Search. <i>Proceedings of the 9th International Conference on Computational Models of Argument</i>, 21–31. <a href=\"http://dx.doi.org/10.3233/FAIA220138\">http://dx.doi.org/10.3233/FAIA220138</a>"},"publication":"Proceedings of the 9th International Conference on Computational Models of Argument","department":[{"_id":"600"},{"_id":"660"}],"type":"conference","date_created":"2022-06-28T09:03:30Z"},{"date_updated":"2025-02-20T08:22:46Z","author":[{"first_name":"Milad","last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059"},{"first_name":"Roxanne","last_name":"El Baff","full_name":"El Baff, Roxanne"},{"full_name":"Gurcke, Timon","first_name":"Timon","last_name":"Gurcke","id":"52174"},{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"year":"2022","title":"The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments","status":"public","user_id":"3900","_id":"30840","language":[{"iso":"eng"}],"page":"8782 - 8797","project":[{"name":"TRR 318 - INF: TRR 318 - Project Area INF","_id":"118"}],"citation":{"chicago":"Alshomary, Milad, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” In <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 8782–97, 2022.","short":"M. Alshomary, R. El Baff, T. Gurcke, H. Wachsmuth, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.","ama":"Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In: <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>. ; 2022:8782-8797.","bibtex":"@inproceedings{Alshomary_El Baff_Gurcke_Wachsmuth_2022, title={The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments}, booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics}, author={Alshomary, Milad and El Baff, Roxanne and Gurcke, Timon and Wachsmuth, Henning}, year={2022}, pages={8782–8797} }","mla":"Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 8782–97.","apa":"Alshomary, M., El Baff, R., Gurcke, T., &#38; Wachsmuth, H. (2022). The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 8782–8797.","ieee":"M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments,” in <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics</i>, 2022, pp. 8782–8797."},"publication":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics","department":[{"_id":"600"},{"_id":"660"}],"type":"conference","date_created":"2022-04-06T14:05:45Z"},{"publication":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics","citation":{"bibtex":"@inproceedings{Skitalinskaya_Klaff_Wachsmuth_2021, title={Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics}, author={Skitalinskaya, Gabriella and Klaff, Jonas and Wachsmuth, Henning}, year={2021}, pages={1718–1729} }","ama":"Skitalinskaya G, Klaff J, Wachsmuth H. Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In: <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>. ; 2021:1718-1729.","mla":"Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>, 2021, pp. 1718–29.","chicago":"Skitalinskaya, Gabriella, Jonas Klaff, and Henning Wachsmuth. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>, 1718–29, 2021.","short":"G. Skitalinskaya, J. Klaff, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–1729.","ieee":"G. Skitalinskaya, J. Klaff, and H. Wachsmuth, “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale,” in <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i>, 2021, pp. 1718–1729.","apa":"Skitalinskaya, G., Klaff, J., &#38; Wachsmuth, H. (2021). Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In <i>Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics</i> (pp. 1718–1729)."},"type":"conference","department":[{"_id":"600"}],"date_created":"2020-10-16T12:39:27Z","date_updated":"2022-01-06T06:54:19Z","year":"2021","status":"public","title":"Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale","author":[{"full_name":"Skitalinskaya, Gabriella","last_name":"Skitalinskaya","first_name":"Gabriella"},{"last_name":"Klaff","first_name":"Jonas","full_name":"Klaff, Jonas"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}],"user_id":"82920","page":"1718-1729","main_file_link":[{"url":"https://www.aclweb.org/anthology/2021.eacl-main.147/"}],"language":[{"iso":"eng"}],"_id":"20115"},{"citation":{"apa":"Bondarenko, A., Gienapp, L., Fröbe, M., Beloucif, M., Ajjour, Y., Panchenko, A., … Hagen, M. (2021). Overview of Touché 2021: Argument Retrieval. In <i>Proceedings of the 43rd annual European Conference on Information Retrieval Research</i> (pp. 384–395).","ieee":"A. Bondarenko <i>et al.</i>, “Overview of Touché 2021: Argument Retrieval,” in <i>Proceedings of the 43rd annual European Conference on Information Retrieval Research</i>, 2021, pp. 384–395.","chicago":"Bondarenko, Alexander, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2021: Argument Retrieval.” In <i>Proceedings of the 43rd Annual European Conference on Information Retrieval Research</i>, 384–95, 2021.","short":"A. Bondarenko, L. Gienapp, M. Fröbe, M. Beloucif, Y. Ajjour, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 2021, pp. 384–395.","mla":"Bondarenko, Alexander, et al. “Overview of Touché 2021: Argument Retrieval.” <i>Proceedings of the 43rd Annual European Conference on Information Retrieval Research</i>, 2021, pp. 384–95.","ama":"Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument Retrieval. In: <i>Proceedings of the 43rd Annual European Conference on Information Retrieval Research</i>. ; 2021:384-395.","bibtex":"@inproceedings{Bondarenko_Gienapp_Fröbe_Beloucif_Ajjour_Panchenko_Biemann_Stein_Wachsmuth_Potthast_et al._2021, title={Overview of Touché 2021: Argument Retrieval}, booktitle={Proceedings of the 43rd annual European Conference on Information Retrieval Research}, author={Bondarenko, Alexander and Gienapp, Lukas and Fröbe, Maik and Beloucif, Meriem and Ajjour, Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and et al.}, year={2021}, pages={384–395} }"},"publication":"Proceedings of the 43rd annual European Conference on Information Retrieval Research","date_created":"2018-08-02T11:40:53Z","department":[{"_id":"600"}],"type":"conference","author":[{"full_name":"Bondarenko, Alexander","last_name":"Bondarenko","first_name":"Alexander"},{"last_name":"Gienapp","first_name":"Lukas","full_name":"Gienapp, Lukas"},{"full_name":"Fröbe, Maik","last_name":"Fröbe","first_name":"Maik"},{"first_name":"Meriem","last_name":"Beloucif","full_name":"Beloucif, Meriem"},{"first_name":"Yamen","last_name":"Ajjour","full_name":"Ajjour, Yamen"},{"first_name":"Alexander","last_name":"Panchenko","full_name":"Panchenko, Alexander"},{"first_name":"Chris","last_name":"Biemann","full_name":"Biemann, Chris"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"},{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"},{"full_name":"Potthast, Martin","first_name":"Martin","last_name":"Potthast"},{"full_name":"Hagen, Matthias","last_name":"Hagen","first_name":"Matthias"}],"title":"Overview of Touché 2021: Argument Retrieval","year":"2021","status":"public","date_updated":"2022-01-06T06:59:35Z","_id":"3774","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://webis.de/downloads/publications/papers/bondarenko_2021.pdf"}],"page":"384-395","user_id":"82920"},{"user_id":"82920","language":[{"iso":"eng"}],"_id":"23708","page":"165-175","main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/3465336.3475109","open_access":"1"}],"date_updated":"2022-01-06T06:55:58Z","author":[{"last_name":"Nouri","first_name":"Zahra","full_name":"Nouri, Zahra","id":"35802"},{"first_name":"Ujwal","last_name":"Gadiraju","full_name":"Gadiraju, Ujwal"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor","id":"107"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"year":"2021","status":"public","title":"What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing","department":[{"_id":"600"}],"oa":"1","type":"conference","date_created":"2021-09-02T20:05:52Z","citation":{"bibtex":"@inproceedings{Nouri_Gadiraju_Engels_Wachsmuth_2021, title={What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing}, booktitle={Proceedings of the 32nd ACM Conference on Hypertext and Social Media}, author={Nouri, Zahra and Gadiraju, Ujwal and Engels, Gregor and Wachsmuth, Henning}, year={2021}, pages={165–175} }","ama":"Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. In: <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>. ; 2021:165-175.","mla":"Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 2021, pp. 165–75.","short":"Z. Nouri, U. Gadiraju, G. Engels, H. Wachsmuth, in: Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 2021, pp. 165–175.","chicago":"Nouri, Zahra, Ujwal Gadiraju, Gregor Engels, and Henning Wachsmuth. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” In <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 165–75, 2021.","ieee":"Z. Nouri, U. Gadiraju, G. Engels, and H. Wachsmuth, “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing,” in <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 2021, pp. 165–175.","apa":"Nouri, Z., Gadiraju, U., Engels, G., &#38; Wachsmuth, H. (2021). What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. <i>Proceedings of the 32nd ACM Conference on Hypertext and Social Media</i>, 165–175."},"publication":"Proceedings of the 32nd ACM Conference on Hypertext and Social Media"},{"date_created":"2021-05-11T23:13:26Z","oa":"1","department":[{"_id":"600"}],"type":"conference","citation":{"mla":"Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, 2021, pp. 552–59, doi:<a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>.","ama":"Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In: <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>. ; 2021:552-559. doi:<a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>","bibtex":"@inproceedings{Spliethöver_Wachsmuth_2021, title={Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models}, DOI={<a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>}, booktitle={Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21}, author={Spliethöver, Maximilian and Wachsmuth, Henning}, year={2021}, pages={552–559} }","apa":"Spliethöver, M., &#38; Wachsmuth, H. (2021). Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, 552–559. <a href=\"https://doi.org/10.24963/ijcai.2021/77\">https://doi.org/10.24963/ijcai.2021/77</a>","ieee":"M. Spliethöver and H. Wachsmuth, “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models,” in <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, Online, 2021, pp. 552–559, doi: <a href=\"https://doi.org/10.24963/ijcai.2021/77\">10.24963/ijcai.2021/77</a>.","short":"M. Spliethöver, H. Wachsmuth, in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 2021, pp. 552–559.","chicago":"Spliethöver, Maximilian, and Henning Wachsmuth. “Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models.” In <i>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21</i>, 552–59, 2021. <a href=\"https://doi.org/10.24963/ijcai.2021/77\">https://doi.org/10.24963/ijcai.2021/77</a>."},"publication":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21","abstract":[{"lang":"eng","text":"Word embedding models reflect bias towards genders, ethnicities, and other social groups present in the underlying training data. Metrics such as ECT, RNSB, and WEAT quantify bias in these models based on predefined word lists representing social groups and bias-conveying concepts. How suitable these lists actually are to reveal bias - let alone the bias metrics in general - remains unclear, though. In this paper, we study how to assess the quality of bias metrics for word embedding models. In particular, we present a generic method, Bias Silhouette Analysis (BSA), that quantifies the accuracy and robustness of such a metric and of the word lists used. Given a biased and an unbiased reference embedding model, BSA applies the metric systematically for several subsets of the lists to the models. The variance and rate of convergence of the bias values of each model then entail the robustness of the word lists, whereas the distance between the models' values gives indications of the general accuracy of the metric with the word lists. We demonstrate the behavior of BSA on two standard embedding models for the three mentioned metrics with several word lists from existing research."}],"quality_controlled":"1","_id":"22156","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.ijcai.org/proceedings/2021/77","open_access":"1"}],"page":"552-559","doi":"10.24963/ijcai.2021/77","user_id":"82920","conference":{"end_date":"2021-08-26","location":"Online","start_date":"2021-08-19","name":"30th International Joint Conference on Artificial Intelligence (IJCAI-21)"},"author":[{"id":"84035","full_name":"Spliethöver, Maximilian","orcid":"0000-0003-4364-1409","first_name":"Maximilian","last_name":"Spliethöver"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"}],"status":"public","year":"2021","title":"Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models","date_updated":"2022-01-06T06:55:28Z"},{"page":"3482-3493","main_file_link":[{"url":"https://aclanthology.org/2021.findings-acl.306.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"22158","user_id":"82920","title":"Generating Informative Conclusions for Argumentative Texts","status":"public","year":"2021","author":[{"full_name":"Syed, Shahbaz","first_name":"Shahbaz","last_name":"Syed"},{"full_name":"Al-Khatib, Khalid","last_name":"Al-Khatib","first_name":"Khalid"},{"id":"73059","full_name":"Alshomary, Milad","first_name":"Milad","last_name":"Alshomary"},{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"},{"full_name":"Potthast, Martin","last_name":"Potthast","first_name":"Martin"}],"date_updated":"2022-01-06T06:55:28Z","date_created":"2021-05-11T23:18:14Z","type":"conference","department":[{"_id":"600"}],"oa":"1","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): Findings","citation":{"mla":"Syed, Shahbaz, et al. “Generating Informative Conclusions for Argumentative Texts.” <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): Findings</i>, 2021, pp. 3482–93.","bibtex":"@inproceedings{Syed_Al-Khatib_Alshomary_Wachsmuth_Potthast_2021, title={Generating Informative Conclusions for Argumentative Texts}, 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): Findings}, author={Syed, Shahbaz and Al-Khatib, Khalid and Alshomary, Milad and Wachsmuth, Henning and Potthast, Martin}, year={2021}, pages={3482–3493} }","ama":"Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. 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): Findings</i>. ; 2021:3482-3493.","ieee":"S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, and M. Potthast, “Generating Informative Conclusions for Argumentative Texts,” 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): Findings</i>, 2021, pp. 3482–3493.","apa":"Syed, S., Al-Khatib, K., Alshomary, M., Wachsmuth, H., &#38; Potthast, M. (2021). Generating Informative Conclusions for Argumentative Texts. <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): Findings</i>, 3482–3493.","short":"S. Syed, K. Al-Khatib, M. Alshomary, H. Wachsmuth, M. Potthast, in: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021): Findings, 2021, pp. 3482–3493.","chicago":"Syed, Shahbaz, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. “Generating Informative Conclusions for Argumentative Texts.” 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): Findings</i>, 3482–93, 2021."}},{"date_created":"2021-05-11T23:20:59Z","department":[{"_id":"600"}],"oa":"1","type":"conference","citation":{"mla":"Barrow, Joe, et al. “Syntopical Graphs for Computational Argumentation Tasks.” <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>, 2021, pp. 1583–95.","ama":"Barrow J, Jain R, Lipka N, et al. Syntopical Graphs for Computational Argumentation Tasks. 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>. ; 2021:1583-1595.","bibtex":"@inproceedings{Barrow_Jain_Lipka_Dernoncourt_Morariu_Manjunatha_Oard_Resnik_Wachsmuth_2021, title={Syntopical Graphs for Computational Argumentation Tasks}, 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)}, author={Barrow, Joe and Jain, Rajiv and Lipka, Nedim and Dernoncourt, Franck and Morariu, Vlad and Manjunatha, Varun and Oard, Douglas and Resnik, Philip and Wachsmuth, Henning}, year={2021}, pages={1583–1595} }","apa":"Barrow, J., Jain, R., Lipka, N., Dernoncourt, F., Morariu, V., Manjunatha, V., Oard, D., Resnik, P., &#38; Wachsmuth, H. (2021). Syntopical Graphs for Computational Argumentation Tasks. <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>, 1583–1595.","ieee":"J. Barrow <i>et al.</i>, “Syntopical Graphs for Computational Argumentation Tasks,” 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>, 2021, pp. 1583–1595.","chicago":"Barrow, Joe, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik, and Henning Wachsmuth. “Syntopical Graphs for Computational Argumentation Tasks.” 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>, 1583–95, 2021.","short":"J. Barrow, R. Jain, N. Lipka, F. Dernoncourt, V. Morariu, V. Manjunatha, D. Oard, P. Resnik, 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), 2021, pp. 1583–1595."},"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)","language":[{"iso":"eng"}],"_id":"22159","main_file_link":[{"url":"https://aclanthology.org/2021.acl-long.126.pdf","open_access":"1"}],"page":"1583-1595","user_id":"82920","author":[{"last_name":"Barrow","first_name":"Joe","full_name":"Barrow, Joe"},{"full_name":"Jain, Rajiv","last_name":"Jain","first_name":"Rajiv"},{"full_name":"Lipka, Nedim","last_name":"Lipka","first_name":"Nedim"},{"full_name":"Dernoncourt, Franck","first_name":"Franck","last_name":"Dernoncourt"},{"last_name":"Morariu","first_name":"Vlad","full_name":"Morariu, Vlad"},{"last_name":"Manjunatha","first_name":"Varun","full_name":"Manjunatha, Varun"},{"full_name":"Oard, Douglas","last_name":"Oard","first_name":"Douglas"},{"full_name":"Resnik, Philip","last_name":"Resnik","first_name":"Philip"},{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"title":"Syntopical Graphs for Computational Argumentation Tasks","status":"public","year":"2021","date_updated":"2022-01-06T06:55:28Z"},{"title":"Employing Argumentation Knowledge Graphs for Neural Argument Generation","status":"public","year":"2021","author":[{"last_name":"Al-Khatib","first_name":"Khalid","full_name":"Al-Khatib, Khalid"},{"full_name":"Trautner, Lukas","last_name":"Trautner","first_name":"Lukas"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Hou, Yufang","first_name":"Yufang","last_name":"Hou"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"}],"date_updated":"2022-01-06T06:55:28Z","page":"4744-4754","main_file_link":[{"url":"https://aclanthology.org/2021.acl-long.366.pdf"}],"_id":"22160","language":[{"iso":"eng"}],"user_id":"82920","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)","citation":{"bibtex":"@inproceedings{Al-Khatib_Trautner_Wachsmuth_Hou_Stein_2021, title={Employing Argumentation Knowledge Graphs for Neural Argument Generation}, 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)}, author={Al-Khatib, Khalid and Trautner, Lukas and Wachsmuth, Henning and Hou, Yufang and Stein, Benno}, year={2021}, pages={4744–4754} }","ama":"Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. Employing Argumentation Knowledge Graphs for Neural Argument Generation. 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>. ; 2021:4744-4754.","mla":"Al-Khatib, Khalid, et al. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.” <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>, 2021, pp. 4744–54.","short":"K. Al-Khatib, L. Trautner, H. Wachsmuth, Y. Hou, B. Stein, 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), 2021, pp. 4744–4754.","chicago":"Al-Khatib, Khalid, Lukas Trautner, Henning Wachsmuth, Yufang Hou, and Benno Stein. “Employing Argumentation Knowledge Graphs for Neural Argument Generation.” 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>, 4744–54, 2021.","ieee":"K. Al-Khatib, L. Trautner, H. Wachsmuth, Y. Hou, and B. Stein, “Employing Argumentation Knowledge Graphs for Neural Argument Generation,” 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>, 2021, pp. 4744–4754.","apa":"Al-Khatib, K., Trautner, L., Wachsmuth, H., Hou, Y., &#38; Stein, B. (2021). Employing Argumentation Knowledge Graphs for Neural Argument Generation. <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>, 4744–4754."},"date_created":"2021-05-11T23:22:36Z","type":"conference","department":[{"_id":"600"}]},{"user_id":"82920","page":"1-5","main_file_link":[{"url":"https://dl.acm.org/doi/fullHtml/10.1145/3469595.3469615"}],"language":[{"iso":"eng"}],"_id":"22448","date_updated":"2022-01-06T06:55:33Z","title":"The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases","status":"public","year":"2021","author":[{"last_name":"Kiesel","first_name":"Johannes","full_name":"Kiesel, Johannes"},{"full_name":"Spina, Damiano","last_name":"Spina","first_name":"Damiano"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"}],"type":"conference","department":[{"_id":"600"}],"date_created":"2021-06-15T13:51:36Z","publication":"Proceedings of the 2021 Conversational User Interfaces Conference","citation":{"short":"J. Kiesel, D. Spina, H. Wachsmuth, B. Stein, in: Proceedings of the 2021 Conversational User Interfaces Conference, 2021, pp. 1–5.","chicago":"Kiesel, Johannes, Damiano Spina, Henning Wachsmuth, and Benno Stein. “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases.” In <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 1–5, 2021.","apa":"Kiesel, J., Spina, D., Wachsmuth, H., &#38; Stein, B. (2021). The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 1–5.","ieee":"J. Kiesel, D. Spina, H. Wachsmuth, and B. Stein, “The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases,” in <i>Proceedings of the 2021 Conversational User Interfaces Conference</i>, 2021, pp. 1–5.","ama":"Kiesel J, Spina D, Wachsmuth H, Stein B. 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