Henning Wachsmuth
Prof. Dr. rer. nat. Henning Wachsmuth
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Appelstraße 9a
30167 Hannover
30167 Hannover
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Prof. Dr. rer. nat. Henning Wachsmuth
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Publications
Alshomary M, Wachsmuth H. Conclusion-based Counter-Argument Generation. in EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2023. S. 957-967 Epub 2023 Jan 24. doi: 10.48550/arXiv.2301.09911
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Lapesa G, Vecchi EM, Villata S, Wachsmuth H. Mining, Assessing, and Improving Arguments in NLP and the Social Sciences. in EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of Tutorial Abstracts. Association for Computational Linguistics (ACL). 2023. S. 1-6. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of Tutorial Abstracts).
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Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment. in IUI 2023 - Proceedings of the 28th International Conference on Intelligent User Interfaces. New York, NY, USA: Association for Computing Machinery (ACM). 2023. S. 737–749 doi: 10.1145/3581641.3584039
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Skitalinskaya G, Wachsmuth H. To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support. in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics (ACL). 2023. S. 15799–15816 doi: 10.18653/v1/2023.acl-long.880
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Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. in Proceedings of the 16th International Natural Language Generation Conference. 2023
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Tornede A, Deng D, Eimer T, Giovanelli J, Mohan A, Ruhkopf T et al. AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. 2023 Jun 13. Epub 2023 Jun 13. doi: 10.48550/arXiv.2306.08107
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Ziegenbein T, Syed S, Lange F, Potthast M, Wachsmuth H. Modeling Appropriate Language in Argumentation. 2023.
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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: 10.48550/arXiv.2203.14563, 10.18653/v1/2022.acl-long.601
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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.
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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). doi: 10.1007/978-3-030-99739-7_43
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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
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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 doi: 10.18653/v1/2022.acl-long.306
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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
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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. doi: 10.1162/tacl_a_00525
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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
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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.
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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. (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).
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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 doi: 10.48550/arXiv.2209.02508
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Ajjour Y, Al-Khatib K, Cimiano P, El Baff R, Ell B, Stein B et al. Preface. CEUR Workshop Proceedings. 2021;2921.
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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).
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