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.

Chen, W.-F., Wachsmuth, H., Al Khatib, K., &; Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88.

Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., &; Stein, B. (2017). Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop on Argument Mining (pp. 118–128).

Al Khatib, K., Wachsmuth, H., Hagen, M., &; Stein, B. (2017). Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1362–1368).

Kiesel, J., Wachsmuth, H., Al Khatib, K., &; Stein, B. (2017). WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 13–16).

Wachsmuth, H., Stein, B., &; Ajjour, Y. (2017). “Page Rank’’’ for Argument Relevance.” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 1117–1127).

Wachsmuth, H., Potthast, M., Al-Khatib, K., Ajjour, Y., Puschmann, J., Qu, J.,  Stein, B. (2017). Building an Argument Search Engine for the Web. In Proceedings of the 4th Workshop on Argument Mining (pp. 49–59).

Wachsmuth, H., Da San Martino, G., Kiesel, D., &; Stein, B. (2017). The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2369–2379).

Wachsmuth, H., Naderi, N., Hou, Y., Bilu, Y., Prabhakaran, V., Thijm, T. A.,  Stein, B. (2017). Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 176–187).

Wachsmuth, H., &; Stein, B. (2017). A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, (3), 1–24.

Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., &; Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250–255).https://doi.org/10.18653/v1/P17-2039