El Baff, Roxanne, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “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), 29–40, 2020.

Spliethöver, Maximilian, and Henning Wachsmuth. “Argument from Old Man’s View: Assessing Social Bias in Argumentation.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 76–87, 2020.

Dorsch, Jonas, and Henning Wachsmuth. “Semi-Supervised Cleansing of Web Argument Corpora.” In Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020), 19–29, 2020.

Bondarenko, Alexander, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2020: Argument Retrieval.” In CEUR Workshop Proceedings, 2696:384–95, 2020.

Wachsmuth, Henning, and Till Werner. “Intrinsic Quality Assessment of Arguments.” In Proceedings of COLING 2020, the 28th International Conference on Computational Linguistics, 6739–45, 2020.

El Baff, Roxanne, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 553–64, 2020.

Alshomary, Milad, Nick Düsterhus, and Henning Wachsmuth. “Extractive Snippet Generation for Arguments.” In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 1969–72, 2020.

Al-Khatib, Khalid, Yufang Hou, Henning Wachsmuth, Charles Jochim, Francesca Bonin, and Benno Stein. “End-to-End Argumentation Knowledge Graph Construction.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 7367–74, 2020.

Bondarenko, Alexander, Matthias Hagen, Martin Potthast, Henning Wachsmuth, Meriem Beloucif, Chris Biemann, Alexander Panchenko, and Benno Stein. “Touché: First Shared Task on Argument Retrieval.” In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 517–23, 2020.

Kiesel, Johannes, Kevin Lang, Henning Wachsmuth, Eva Hornecker, and Benno Stein. “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), 53–62, 2020.

Kiesel, Dora, Patrick Riehmann, Henning Wachsmuth, Benno Stein, and Bernd Fröhlich. “Visual Analysis of Argumentation in Essays.” IEEE Transactions of Visualization &; Computer Graphics 27, no. 2 (n.d.): 1139–48.

Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “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, 149–54, 2020.

Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–41, 2020.

Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.

Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020, 1309–19, 2020.

Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020.

Potthast, Martin, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein, and Matthias Hagen. “Argument Search: Assessing Argument Relevance.”https://doi.org/10.1145/3331184.3331327__In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019), 1117–20. ACM, 2019.https://doi.org/10.1145/3331184.3331327 .

Wachsmuth, Henning. “Book Review: Argumentation Mining.” Computational Linguistics. ACL, 2019.

Ajjour, Yamen, Henning Wachsmuth, Johannes  Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. “Data Acquisition for Argument Search: The Args.Me Corpus.” In Proceedings of the 42nd Edition of the German Conference on Artificial Intelligence, 48–59, 2019.

Ajjour, Yamen, Milad Alshomary, Henning Wachsmuth, and Benno Stein. “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, 2915–25, 2019.