Henning Wachsmuth
30167 Hannover
Publications
Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment. In Proceedings of the 28th International Conference on Intelligent User Interfaces. New York, NY, USA: Association for Computing Machinery (ACM). 2023. p. 737–749. (International Conference on Intelligent User Interfaces, Proceedings IUI). doi: 10.1145/3581641.3584039
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, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers. Association for Computational Linguistics (ACL). 2022. p. 8782 - 8797 doi: 10.48550/arXiv.2203.14563, 10.18653/v1/2022.acl-long.601
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, editors, Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Proceedings. Part 2 ed. Springer Science and Business Media Deutschland GmbH. 2022. p. 339-346. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-99739-7_43
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, editors, Proceedings of the 9th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2022. p. 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, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers. Association for Computational Linguistics (ACL). 2022. p. 4459 - 4471 doi: 10.18653/v1/2022.acl-long.306
Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in Computational Argumentation. 2022. Epub 2022. doi: 10.48550/arXiv.2107.00281
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 Dec 22;10(10):1392-1422. doi: 10.1162/tacl_a_00525
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 Epub 2022 Nov 7.
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. p. 39-51. (NLPCSS 2022 - 5th Workshop on Natural Language Processing and Computational Social Science ,NLP+CSS, Held at the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022).
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. p. 344 - 354 doi: 10.48550/arXiv.2209.02508
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. p. 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. p. 224-233 doi: 10.48550/arXiv.2101.09765, 10.18653/v1/2021.eacl-main.17
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, editors, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics (ACL). 2021. p. 1816-1827 doi: 10.18653/v1/2021.findings-acl.159
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. p. 184-189
Alshomary M, Wachsmuth H. Toward audience-aware argument generation. Patterns. 2021 Jun;2(6):100253. doi: 10.1016/j.patter.2021.100253
