Institute
Henning Wachsmuth

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 61 - 80 out of 112

El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials depending on Ideology and Personality. In Nissim M, Patti V, Plank B, Durmus E, editors, Proceedings of the Third Workshop on Computational Modeling of PEople’s Opinions, PersonaLity, and Emotions in Social media. Association for Computational Linguistics (ACL). 2020. p. 29-40
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Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo AC, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In CIKM' 2020: Proceedings of the 29th ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM). 2020. p. 3023-3030 doi: 10.1145/3340531.3412763
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Kiesel J, Lang K, Wachsmuth H, Hornecker E, Stein B. Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In CHIIR 2020: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval. New York: Association for Computing Machinery, Inc. 2020. p. 53-62 doi: 10.1145/3343413.3377978
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Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In Scott D, Bel N, Zong C, editors, Proceedings of the 28th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL). 2020. p. 6264-6276 doi: 10.18653/v1/2020.coling-main.551
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Spliethöver M, Wachsmuth H. Argument from Old Man's View: Assessing Social Bias in Argumentation. In Cabrio E, Villata S, editors, Proceedings of the 7th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2020. p. 76-87
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Syed S, Chen WF, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In Davis B, Graham Y, Kelleher J, Sripada Y, editors, Proceedings of The 13th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL). 2020. p. 237-241
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Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In Scott D, Bel N, Zong C, editors, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2020. p. 6739-6745 doi: 10.18653/v1/2020.coling-main.592
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Ajjour Y, Wachsmuth H, Kiesel J, Potthast M, Hagen M, Stein B. Data Acquisition for Argument Search: The args.me Corpus. In Benzmüller C, Stuckenschmidt H, editors, KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI, Proceedings. Berlin Heidelberg New York: Springer Verlag. 2019. p. 48-59. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-30179-8_4
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Ajjour Y, Alshomary M, Wachsmuth H, Stein B. Modeling Frames in Argumentation. In Inui K, Jiang J, Ng V, Wan X, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics. 2019. p. 2922-2932 doi: 10.18653/v1/D19-1290
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Alshomary M, Wachsmuth H. Siamese Neural Network for Same Side Stance Classification. CEUR Workshop Proceedings. 2019;2921:12-16.
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Alshomary M, Völske M, Licht T, Wachsmuth H, Stein B, Hagen M et al. Wikipedia Text Reuse: Within and Without. In Stein B, Fuhr N, Azzopardi L, Mayr P, Hiemstra D, Hauff C, editors, Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Proceedings. Springer Verlag. 2019. p. 747-754. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-15712-8_49
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El Baff R, Wachsmuth H, Al-Khatib K, Stede M, Stein B. Computational Argumentation Synthesis as a Language Modeling Task. In Proceedings of The 12th International Conference on Natural Language Generation. Association for Computational Linguistics (ACL). 2019. p. 54-64 doi: 10.18653/v1/W19-8607
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Potthast M, Gienapp L, Euchner F, Heilenkötter N, Weidmann N, Wachsmuth H et al. Argument Search: Assessing Argument Relevance. In SIGIR 2019: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery, Inc. 2019. p. 1117-1120 doi: 10.1145/3331184.3331327
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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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