Henning Wachsmuth
Prof. Dr. rer. nat. Henning Wachsmuth
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30167 Hannover
30167 Hannover
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Prof. Dr. rer. nat. Henning Wachsmuth
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Publications
Showing results 21 - 40 out of 109
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. p. 2081-2093 Epub 2022 Nov 7. doi: 10.18653/v1/2022.findings-emnlp.152
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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. 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).
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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. p. 344 - 354 doi: 10.48550/arXiv.2209.02508
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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 to Construct Explanations. Proceedings - International Conference on Computational Linguistics, COLING. 2022;29(1):344-354.
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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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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
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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
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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
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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
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Alshomary M, Wachsmuth H. Toward audience-aware argument generation. Patterns. 2021 Jun;2(6):100253. doi: 10.1016/j.patter.2021.100253
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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. p. 1583-1595 doi: 10.18653/v1/2021.acl-long.126
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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)). doi: 10.1007/978-3-030-72240-1_67
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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.
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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). doi: 10.1007/978-3-030-85251-1_28
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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 doi: 10.18653/v1/2021.findings-emnlp.228
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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 doi: 10.48550/arXiv.2110.13495
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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 doi: 10.1145/3469595.3469615
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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. doi: 10.1109/TVCG.2020.3030425
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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
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