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 81 - 100 out of 119
Stein B, Wachsmuth H. Introduction. In Stein B, Wachsmuth H, editors, Proceedings of the 6th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2019
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Stein B, Wachsmuth H. Introduction. In Stein B, Wachsmuth H, editors, Proceedings of the 6th Workshop on Argument Mining. Florence: Association for Computational Linguistics (ACL). 2019. p. III-III
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Stein B, (ed.), Wachsmuth H, (ed.). Proceedings of the 6th Workshop on Argument Mining. Stroudsburg: Association for Computational Linguistics (ACL), 2019. 199 p.
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Wachsmuth H. Argumentation Mining. By Manfred Stede and Jodi Schneider (University of Potsdam, University of Illinois at Urbana-Champaign). Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 40), 2018, xvi+175 pp; paperback, ISBN 978-1-68173-459-0; ebook, ISBN 978-1-68173-460-6; doi:10.2200/S00883ED1V01Y201811HLT040: Argumentation Mining. Computational Linguistics. 2019;45(3). doi: 10.1162/coli_r_00358
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Ajjour Y, Wachsmuth H, Kiesel D, Riehmann P, Fan F, Castiglia G et al. Visualization of the Topic Space of Argument Search Results in args.me. In Blanco E, Lu W, editors, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (System Demonstrations). Brüssel: Association for Computational Linguistics (ACL). 2018. p. 60-65 doi: 10.18653/v1/d18-2011
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Al-Khatib K, Wachsmuth H, Lang K, Herpel J, Hagen M, Stein B. Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Long Papers). Melbourne: Association for Computational Linguistics (ACL). 2018. p. 2545-2555 doi: 10.18653/v1/p18-1237
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Chen WF, Wachsmuth H, Al-Khatib K, Stein B. Learning to Flip the Bias of News Headlines. In Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL). 2018. p. 79-88 doi: 10.18653/v1/W18-6509
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El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics (ACL). 2018. p. 454-464 doi: 10.18653/v1/k18-1044
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Habernal I, Wachsmuth H, Gurevych I, Stein B. Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). Association for Computational Linguistics (ACL). 2018. p. 386-396 doi: 10.18653/v1/N18-1036
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Habernal I, Wachsmuth H, Gurevych I, Stein B. SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. In Apidianaki M, Apidianaki M, Mohammad SM, May J, Shutova E, Bethard S, Carpuat M, editors, Proceedings of the 12th International Workshop on Semantic Evaluation. Association for Computational Linguistics (ACL). 2018. p. 763-772 doi: 10.18653/v1/S18-1121
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Habernal I, Wachsmuth H, Gurevych I, Stein B. The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. In Walker M, Ji H, Stent A, editors, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). New Orleans: Association for Computational Linguistics (ACL). 2018. p. 1930-1940 doi: 10.48550/arXiv.1708.01425, 10.18653/v1/N18-1175
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Kiesel D, Riehmann P, Fan F, Ajjour Y, Wachsmuth H, Stein B et al. Improving Barycentric Embeddings of Topics Spaces. In IEEE VIS 2018. IEEE. 2018
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Wachsmuth H, Stede M, El Baff R, Al-Khatib K, Skeppstedt M, Stein B. Argumentation Synthesis following Rhetorical Strategies. In Bender EM, Derczynski L, Isabelle P, editors, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe: Association for Computational Linguistics (ACL). 2018. p. 3753-3765
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Wachsmuth H, Syed S, Stein B. Retrieval of the Best Counterargument without Prior Topic Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. Melbourne: Association for Computational Linguistics (ACL). 2018. p. 241-251 doi: 10.18653/v1/p18-1023
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Ajjour Y, Chen WF, Kiesel J, Wachsmuth H, Stein B. Unit Segmentation of Argumentative Texts. In Habernal I, Gurevych I, Ashley K, Cardie C, Green N, Litman D, Petasis G, Reed C, Slonim N, Walker V, editors, Proceedings of the 4th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2017. p. 118-128 doi: 10.18653/v1/W17-5115
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Al-Khatib K, Wachsmuth H, Hagen M, Stein B. Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL). 2017. p. 1351-1357 doi: 10.18653/v1/d17-1141
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Kiesel J, Wachsmuth H, Al-Khatib K, Stein B. WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Penas A, Martins A, editors, Proceedings of the EACL 2017 Software Demonstrations. Association for Computational Linguistics (ACL). 2017. p. 13-16 doi: 10.18653/v1/e17-3004
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Wachsmuth H, Naderi N, Habernal I, Hou Y, Hirst G, Gurevych I et al. Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Short Papers). Association for Computational Linguistics (ACL). 2017. p. 250-255 doi: 10.18653/v1/P17-2039
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Wachsmuth H, Stein B. A Universal Model for Discourse-Level Argumentation Analysis. ACM Transactions on Internet Technology. 2017 Jun;17(3):28. doi: 10.1145/2957757
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Wachsmuth H, Potthast M, Al-Khatib K, Ajjour Y, Puschmann J, Qu J et al. Building an Argument Search Engine for the Web. In Habernal I, Gurevych I, Ashley K, Cardie C, Green N, Litman D, Petasis G, Reed C, Slonim N, Walker V, editors, Proceedings of the 4th Workshop on Argument Mining. Copenhagen: Association for Computational Linguistics (ACL). 2017. p. 49-59 doi: 10.18653/v1/W17-5106
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