Henning Wachsmuth
Prof. Dr. rer. nat. Henning Wachsmuth
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30167 Hannover
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Prof. Dr. rer. nat. Henning Wachsmuth
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Publications
Showing results 41 - 60 out of 119
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 MF, 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. In CLEF 2021 Working Notes: Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum Bucharest, Romania, September 21st to 24th, 2021.. 2021. p. 2258-2284. (CEUR Workshop Proceedings).
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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 MF, Huang X, Specia L, Yih SWT, 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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Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. In HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc. 2021. p. 165-175 doi: 10.1145/3465336.3475109
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Rohlfing KJ, Cimiano P, Scharlau I, Matzner T, Buhl HM, Buschmeier H et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021 Sept 9;13(3):717-728. 9292993. doi: 10.1109/TCDS.2020.3044366
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Skitalinskaya G, Klaff J, Wachsmuth H. Learning from revisions: Quality assessment of claims in argumentation at scale. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics (ACL). 2021. p. 1718-1729 doi: 10.48550/arXiv.2101.10250, 10.18653/v1/2021.eacl-main.147
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Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In Zhou ZH, editor, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. AAAI Press/International Joint Conferences on Artificial Intelligence. 2021. p. 552-559. (IJCAI International Joint Conference on Artificial Intelligence). doi: 10.24963/ijcai.2021/77
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Stein B, Ajjour Y, El Baff R, Al-Khatib K, Cimiano P, Wachsmuth H. Same side stance classification. In Same Side Stance Classification Shared Task 2019: Proceedings of the Same Side Stance Classification Shared Task organized as a part of the 6th Workshop on Argument Mining (ArgMining 2019) and co-located with the the 57th Annual Meeting of the Association for Computational Linguistics (ACL19) . 2021. p. 1-7. (CEUR Workshop Proceedings).
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Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. 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. 3482-3493 doi: 10.48550/arXiv.2106.01064, 10.18653/v1/2021.findings-acl.306
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Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation Knowledge Graph Construction. Proceedings of the AAAI Conference on Artificial Intelligence. 2020 Apr 3;34(5):7367-7374. doi: 10.1609/aaai.v34i05.6231
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Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In SIGIR 2020: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery, Inc. 2020. p. 1969-1972 doi: 10.1145/3397271.3401186
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Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In Jurafsky D, Chai J, Schluter N, Tetreault J, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020. p. 4334-4345. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2020.acl-main.399
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Bondarenko A, Fröbe M, Beloucif M, Gienapp L, Ajjour Y, Panchenko A et al. Overview of Touché 2020: Argument Retrieval: Extended Abstract. In Arampatzis A, Kanoulas E, Tsikrika T, Vrochidis S, Joho H, Lioma C, Eickhoff C, Névéol A, Névéol A, Cappellato L, Ferro N, editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association, CLEF 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 384-395. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-58219-7_26
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