Henning Wachsmuth


30167 Hannover


Publications
Bondarenko A, Gienapp L, Fröbe M, Beloucif M, Ajjour Y, Panchenko A et al. Overview of Touché 2021: Argument Retrieval: Extended Abstract. In Hiemstra D, Moens M-F, Mothe J, Perego R, Potthast M, Sebastiani F, editors, Advances in Information Retrieval: 43rd European Conference on IR Research, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 574-582. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Bondarenko A, Gienapp L, Fröbe M, Beloucif M, Ajjour Y, Panchenko A et al. Overview of Touché 2021: Argument retrieval. CEUR Workshop Proceedings. 2021;2936:2258-2284.
Bondarenko A, Gienapp L, Fröbe M, Beloucif M, Ajjour Y, Panchenko A et al. Overview of Touché 2021: Argument Retrieval. In Candan KS, Ionescu B, Goeuriot L, Müller H, Joly A, Maistro M, Piroi F, Faggioli G, Ferro N, editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 12th International Conference of the CLEF Association (CLEF 2021). Vol. 12880. Berlin Heidelberg New York: Springer. 2021. p. 450-467. (Lecture Notes in Computer Science).
Chen WF, Al-Khati K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In Moens M-F, Huang X, Specia L, Yih SW-T, editors, Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana: Association for Computational Linguistics (ACL). 2021. p. 2683-2693
Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In 8th Workshop on Argument Mining, ArgMining 2021 - Proceedings. Punta Cana: Association for Computational Linguistics (ACL). 2021. p. 67-77
Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. In Proceedings of the 3rd Conference on Conversational User Interfaces, CUI 2021. Association for Computing Machinery (ACM). 2021. 20
Kiesel D, Riehmann P, Wachsmuth H, Stein B, Froehlich B. Visual Analysis of Argumentation in Essays. IEEE Transactions on Visualization and Computer Graphics. 2021 Feb 15;27(2):1139-1148. 9222553.
Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify: A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021. AAAI Press/International Joint Conferences on Artificial Intelligence. 2021
Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. In HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc. 2021. p. 165-175
Rohlfing KJ, Cimiano P, Scharlau I, Matzner T, Buhl HM, Buschmeier H et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021 Sep 9;13(3):717-728. 9292993.
Skitalinskaya G, Klaff J, Wachsmuth H. Learning from revisions: Quality assessment of claims in argumentation at scale. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics (ACL). 2021. p. 1718-1729
doi.org/10.48550/arXiv.2101.10250
,Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In Zhou Z-H, editor, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. AAAI Press/International Joint Conferences on Artificial Intelligence. 2021. p. 552-559. (IJCAI International Joint Conference on Artificial Intelligence).
Stein B, Ajjour Y, El Baff R, Al-Khatib K, Cimiano P, Wachsmuth H. Same side stance classification. CEUR Workshop Proceedings. 2021;2921:1-7.
Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. In Zong C, Xia F, Li W, Navigli R, editors, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics (ACL). 2021. p. 3482-3493
doi.org/10.48550/arXiv.2106.01064
,Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation Knowledge Graph Construction. Proceedings of the AAAI Conference on Artificial Intelligence. 2020 Apr 3;34(5):7367-7374.
Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In SIGIR 2020: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery, Inc. 2020. p. 1969-1972
Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In Jurafsky D, Chai J, Schluter N, Tetreault J, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020. p. 4334-4345
Bondarenko A, Fröbe M, Beloucif M, Gienapp L, Ajjour Y, Panchenko A et al. Overview of Touché 2020: Argument Retrieval: Extended Abstract. In Arampatzis A, Kanoulas E, Tsikrika T, Vrochidis S, Joho H, Lioma C, Eickhoff C, Névéol A, Névéol A, Cappellato L, Ferro N, editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 384-395. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Bondarenko A, Fröbe M, Beloucif M, Gienapp L, Ajjour Y, Panchenko A et al. Overview of Touché 2020: Argument Retrieval. CEUR Workshop Proceedings. 2020;2696.
Bondarenko A, Hagen M, Potthast M, Wachsmuth H, Beloucif M, Biemann C et al. Touché: First Shared Task on Argument Retrieval. In Jose JM, Yilmaz E, Magalhães J, Martins F, Castells P, Ferro N, Silva MJ, editors, Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020. Springer. 2020. p. 517-523. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).