Henning Wachsmuth


30167 Hannover


Research Interests
Publications
Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. in Proceedings of the 16th International Natural Language Generation Conference. 2023
Alshomary M, El Baff R, Gurcke T, Wachsmuth H. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. in Muresan S, Nakov P, Villavicencio A, Hrsg., Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers. Association for Computational Linguistics (ACL). 2022. S. 8782 - 8797
doi.org/10.48550/arXiv.2203.14563
,Bondarenko A, Fröbe M, Kiesel J, Syed S, Gurcke T, Beloucif M et al. Overview of Touché 2022: Argument Retrieval. CEUR Workshop Proceedings. 2022;3180:2867-2903.
Bondarenko A, Fröbe M, Kiesel J, Syed S, Gurcke T, Beloucif M et al. Overview of Touché 2022: Argument Retrieval: Argument Retrieval: Extended Abstract. in Hagen M, Verberne S, Macdonald C, Seifert C, Balog K, Nørvåg K, Setty V, Hrsg., Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Proceedings. Part 2 Aufl. Springer Science and Business Media Deutschland GmbH. 2022. S. 339-346. (Lecture Notes in Computer Science).
Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. in Lapesa G, Schneider J, Jo Y, Saha S, Hrsg., Proceedings of the 9th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2022. S. 51 - 61
Kiesel J, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying the Human Values behind Arguments. in Muresan S, Nakov P, Villavicencio A, Hrsg., Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers. Association for Computational Linguistics (ACL). 2022. S. 4459 - 4471
Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in Computational Argumentation. 2022.
Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. Scientia Potentia Est—On the Role of Knowledge in Computational Argumentation. Transactions of the Association for Computational Linguistics. 2022 Dez 22;10(10):1392-1422.
Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. in Proceedings of the 2022 Workshop on Figurative Language Processing. 2022
Spliethöver M, Keiff M, Wachsmuth H. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics. 2022
Stahl M, Spliethöver M, Wachsmuth H. To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. in Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics (ACL). 2022. S. 39-51
Wachsmuth H, Alshomary M. "Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue Corpus for Learning How to Explain. in Proceedings of the 29th International Conference on Computational Linguistics. Gyeongju: International Committee on Computational Linguistics. 2022. S. 344 - 354
Ajjour Y, Al-Khatib K, Cimiano P, El Baff R, Ell B, Stein B et al. Preface. CEUR Workshop Proceedings. 2021;2921.
Ajjour Y, (ed.), Al-Khatib K, (ed.), Cimiano P, (ed.), Baff RE, (ed.), Ell B, (ed.), Stein B, (ed.) et al. Same Side Stance Classification Shared Task 2019. 2021. (CEUR Workshop Proceedings).
Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. Employing argumentation knowledge graphs for neural argument generation. in ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2021. S. 4744-4754
Alshomary M, Chen WF, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Association for Computational Linguistics (ACL). 2021. S. 224-233
doi.org/10.48550/arXiv.2101.09765
,Alshomary M, Syed S, Dhar A, Potthast M, Wachsmuth H. Counter-Argument Generation by Attacking Weak Premises: Counter-Argument Generation by Attacking Weak Premises. in Zong C, Xia F, Li W, Navigli R, Hrsg., Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics (ACL). 2021. S. 1816-1827
Alshomary M, Gurke T, Syed S, Heinisch P, Spliethöver M, Cimiano P et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. in Proceedings of The 8th Workshop on Argument Mining,. Association for Computational Linguistics (ACL). 2021. S. 184-189
Alshomary M, Wachsmuth H. Toward audience-aware argument generation. Patterns. 2021 Jun;2(6). 100253.
Barrow J, Jain R, Lipka N, Dernoncourt F, Morariu VI, Manjunatha V et al. Syntopical graphs for computational argumentation tasks. in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. Association for Computational Linguistics (ACL). 2021. S. 1583-1595