Henning Wachsmuth

Prof. Dr. rer. nat. Henning Wachsmuth
Address
Appelstraße 9a
30167 Hannover
Building
Room
Prof. Dr. rer. nat. Henning Wachsmuth
Address
Appelstraße 9a
30167 Hannover
Building
Room

Publications

Showing results 1 - 20 out of 112

Faggioli G, Dietz L, Clarke CLA, Demartini G, Hagen M, Hauff C et al. Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance. Communications of the ACM. 2024 Mar 25;67(4):31-34. Epub 2024 Mar 15. doi: 10.1145/3624730
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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. p. 957-967 Epub 2023 Jan 24. doi: 10.48550/arXiv.2301.09911
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Bäumer F, Chen WF, Geierhos M, Kersting J, Wachsmuth H. Dialogue-Based Requirement Compensation and Style-Adjusted Data-To-Text Generation. In On-The-Fly Computing : Individualized IT-Services in dynamic markets. 2023. p. 65-84 doi: 10.5281/zenodo.8068456
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Faggioli G, Clarke CLA, Demartini G, Hagen M, Hauff C, Kando N et al. Perspectives on Large Language Models for Relevance Judgment. In ICTIR '23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval. Association for Computing Machinery, Inc. 2023. p. 39-50 doi: 10.48550/arXiv.2304.09161, 10.1145/3578337.3605136
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Haake CJ, Auf Der Heide FM, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly Computing: Individualized IT-Services in dynamic markets. Paderborn: Verlagschriftenreihe des Heinz Nixdorf Instituts, 2023. (Verlagsschriftenreihe des Heinz Nixdorf Instituts). doi: 10.17619/UNIPB/1-1797
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Kiesel J, Alshomary M, Mirzakhmedova N, Heinrich M, Handke N, Wachsmuth H et al. SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments. In Ojha AK, Doğruöz AS, Da San Martino G, Madabushi HT, Kumar R, Sartori E, editors, Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). Association for Computational Linguistics (ACL). 2023. p. 2287-2303 doi: 10.18653/V1/2023.SEMEVAL-1.313
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Lapesa G, Vecchi EM, Villata S, Wachsmuth H. Mining, Assessing, and Improving Arguments in NLP and the Social Sciences. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. Association for Computational Linguistics (ACL). 2023 doi: 10.18653/v1/2023.eacl-tutorials.1
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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. p. 737–749 doi: 10.1145/3581641.3584039
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Skitalinskaya G, Spliethöver M, Wachsmuth H. Claim Optimization in Computational Argumentation. In Keet CM, Lee HY, Zarrieß S, editors, Proceedings of the 16th International Natural Language Generation Conference. Association for Computational Linguistics (ACL). 2023. p. 134-152 doi: 10.48550/arXiv.2212.08913, 10.18653/v1/2023.inlg-main.10
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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. p. 15799–15816. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). 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: Generation Challenges. 2023. p. 31-36
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Stahl M, Düsterhus N, Chen MH, Wachsmuth H. Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments. In Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. p. 4703-4717 doi: 10.48550/arXiv.2310.18098, 10.18653/v1/2023.findings-emnlp.312
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Syed S, Ziegenbein T, Heinisch P, Wachsmuth H, Potthast M. Frame-oriented Summarization of Argumentative Discussions. In Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics (ACL). 2023. p. 114-129 doi: 10.18653/v1/2023.sigdial-1.10
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Ziegenbein T, Syed S, Lange F, Potthast M, Wachsmuth H. Modeling Appropriate Language in Argumentation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL). 2023. p. 4344-4363. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2023.acl-long.238
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Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In Toni F, Polberg S, Booth R, Caminada M, Kido H, editors, Computational Models of Argument: Proceedings of COMMA 2022. Amsterdam: IOS Press. 2022. p. 21-31. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA220138
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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, 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. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). 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, 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
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Chen WF, Chen MH, 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
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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, 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. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2022.acl-long.306
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