Henning Wachsmuth
30167 Hannover
Publications
Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In Bamman D, Hovy D, Jurgens D, O'Connor B, Volkova S, editors, Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics (ACL). 2020. p. 149-154
Chen WF, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics (ACL). 2020. p. 4290-4300
doi.org/10.48550/arXiv.2010.10649
,da San Martino G, Barrón-Cedeño A, Wachsmuth H, Petrov R, Nakov P. SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. In Herbelot A, Zhu X, Palmer A, Schneider N, May J, Shutova E, editors, Proceedings of the 14th International Workshop on Semantic Evaluation. Barcelona : International Committee for Computational Linguistics. 2020. p. 1377-1414
doi.org/10.48550/arXiv.2009.02696
,Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In Cabrio E, Villata S, editors, Proceedings of the 7th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2020. p. 19-29
El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In Jurafsky D, Chai J, Schluter N, Tetreault J, editors, Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL). 2020. p. 3154-3160
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
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
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
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
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
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
Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In Scott D, Bel N, Zong C, editors, Proceedings of the 28th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL). 2020. p. 6739-6745
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)).
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
Alshomary M, Wachsmuth H. Siamese Neural Network for Same Side Stance Classification. CEUR Workshop Proceedings. 2019;2921:12-16.
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)).
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
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
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
Stein B, (ed.), Wachsmuth H, (ed.). Proceedings of the 6th Workshop on Argument Mining. Stroudsburg: Association for Computational Linguistics (ACL), 2019. 199 p.
