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83 Publications


2021 | Conference Paper | LibreCat-ID: 20115
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. ; 2021.
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2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument Retrieval. In: Proceedings of the 43rd Annual European Conference on Information Retrieval Research. ; 2021.
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2021 | Preprint | LibreCat-ID: 21178
Alshomary M, Chen W-F, Gurcke T, Wachsmuth H. Belief-based Generation of Argumentative Claims. Proceedings of the 43rd annual European Conference on Information Retrieval Research. 2021.
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2020 | Conference Paper | LibreCat-ID: 20140
Dorsch J, Wachsmuth H. Semi-Supervised Cleansing of Web Argument Corpora. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:19-29.
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2020 | Conference Paper | LibreCat-ID: 15820
Al-Khatib K, Hou Y, Wachsmuth H, Jochim C, Bonin F, Stein B. End-to-End Argumentation Knowledge Graph Construction. In: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). ; 2020:7367-7374.
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2020 | Conference Paper | LibreCat-ID: 15825
Kiesel J, Lang K, Wachsmuth H, Hornecker E, Stein B. Investigating Expectations for Voice-based and Conversational Argument Search on the Web. In: Proceedings of the 2020 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2020). ; 2020:53-62.
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2020 | Conference Paper | LibreCat-ID: 3776
Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. ; 2020:149-154.
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2020 | Conference Paper | LibreCat-ID: 20122
El Baff R, Al-Khatib K, Stein B, Wachsmuth H. Persuasiveness of News Editorials depending on Ideology and Personality. In: Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2020). ; 2020:29-40.
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2020 | Conference Paper | LibreCat-ID: 20139
Spliethöver M, Wachsmuth H. Argument from Old Man’s View: Assessing Social Bias in Argumentation. In: Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020). ; 2020:76-87.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the the Web Conference 2020. ; 2020:1309-1319.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. ; 2020:553-564.
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2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko A, Hagen M, Potthast M, et al. Touché: First Shared Task on Argument Retrieval. In: Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020). ; 2020:517-523.
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2020 | Conference Paper | LibreCat-ID: 20116
Nouri Z, Wachsmuth H, Engels G. Mining Crowdsourcing Problems from Discussion Forums of Workers. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; :6264-6276.
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2020 | Conference Paper | LibreCat-ID: 20166
Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345.
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2020 | Conference Paper | LibreCat-ID: 3800
Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; 2020:6739-6745.
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2020 | Conference Paper | LibreCat-ID: 7283
Alshomary M, Düsterhus N, Wachsmuth H. Extractive Snippet Generation for Arguments. In: Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ; 2020:1969-1972.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen W-F, 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. ; 2020:4290-4300.
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2020 | Journal Article | LibreCat-ID: 10330
Kiesel D, Riehmann P, Wachsmuth H, Stein B, Fröhlich B. Visual Analysis of Argumentation in Essays. IEEE Transactions of Visualization & Computer Graphics. 27(2):1139-1148.
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