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.

Bondarenko A, Fröbe M, Beloucif M, et al. Overview of Touché 2020: Argument Retrieval. In: CEUR Workshop Proceedings. Vol 2696. ; 2020:384-395.

Wachsmuth H, Werner T. Intrinsic Quality Assessment of Arguments. In: Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics. ; 2020:6739-6745.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Heindorf S, Scholten Y, Wachsmuth H, Ngonga Ngomo A-C, Potthast M. CauseNet: Towards a Causality Graph Extracted from the Web. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020). ; 2020:3023-3030. doi:10.1145/3340531.3412763

Potthast M, Gienapp L, Euchner F, et al. Argument Search: Assessing Argument Relevance. In: 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019). ACM; 2019:1117-1120. doi:10.1145/3331184.3331327

Wachsmuth H. Book Review: Argumentation Mining. Computational Linguistics. 2019;45(3):603-606.

Ajjour Y, Wachsmuth H,  Kiesel J, Potthast M, Hagen M, Stein B. Data Acquisition for Argument Search: The args.me Corpus. In: Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence. ; 2019:48-59.

Ajjour Y, Alshomary M, Wachsmuth H, Stein B. Modeling Frames in Argumentation. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. ; 2019:2915-2925.

Stein B, Wachsmuth H, eds. Proceedings of the 6th Workshop on Argument Mining. Florence, Italy: Association for Computational Linguistics; 2019.

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; 2019:54-64.