Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &; Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.

Chen, W.-F., Al-Khatib, K., Stein, B., &; Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.

Alshomary, M., Syed, S., Potthast, M., &; Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.

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

Potthast, M., Gienapp, L., Euchner, F., Heilenkötter, N., Weidmann, N., Wachsmuth, H.,https://doi.org/10.1145/3331184.3331327__Hagen, M. (2019). Argument Search: Assessing Argument Relevance. In 42nd International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019) (pp. 1117–1120). ACM.https://doi.org/10.1145/3331184.3331327 

Wachsmuth, H. (2019). Book Review: Argumentation Mining. Computational Linguistics. ACL.

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

Ajjour, Y., Alshomary, M., Wachsmuth, H., &; Stein, B. (2019). 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 (pp. 2915–2925).

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

El Baff, R., Wachsmuth, H., Al-Khatib, K., Stede, M., &; Stein, B. (2019). Computational Argumentation Synthesis as a Language Modeling Task. In Proceedings of the 12th International Conference on Natural Language Generation (pp. 54–64). Tokyo, Japan: Association for Computational Linguistics.

Alshomary, M., Völske, M., Licht, T., Wachsmuth, H., Stein, B., Hagen, M., &; Potthast, M. (2019). Wikipedia Text Reuse: Within and Without. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, &; D. Hiemstra (Eds.), Advances in Information Retrieval (pp. 747–754). Cham: Springer International Publishing.

Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., &; Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82.

Habernal, I., Wachsmuth, H., Gurevych, I., &; Stein, B. (2018). The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 1930–1940).

Al Khatib, K., Wachsmuth, H., Lang, K., Herpel, J., Hagen, M., &; Stein, B. (2018). Modeling Deliberative Argumentation Strategies on Wikipedia. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2545–2555).

Habernal, I., Wachsmuth, H., Gurevych, I., &; Stein, B. (2018). Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 386–396).

Habernal, I., Wachsmuth, H., Gurevych, I., &; Stein, B. (2018). SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. In Proceedings of The 12th International Workshop on Semantic Evaluation (pp. 763–772).

Wachsmuth, H., Syed, S., &; Stein, B. (2018). Retrieval of the Best Counterargument without Prior Topic Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 241–251).

Wachsmuth, H., Stede, M., El Baff, R., Al Khatib, K., Skeppstedt, M., &; Stein, B. (2018). Argumentation Synthesis following Rhetorical Strategies. In Proceedings of the 27th International Conference on Computational Linguistics (pp. 3753–3765).

Ajjour, Y., Wachsmuth, H., Kiesel, D., Riehmann, P., Fan, F., Castiglia, G.,  Stein, B. (2018). Visualization of the Topic Space of Argument Search Results in args. me. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 60–65).

El Baff, R., Wachsmuth, H., Al Khatib, K., &; Stein, B. (2018). Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 454–464). Association for Computational Linguistics.