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

R. El Baff, H. Wachsmuth, K. Al-Khatib, M. Stede, and B. Stein, “Computational Argumentation Synthesis as a Language Modeling Task,” in Proceedings of the 12th International Conference on Natural Language Generation, Tokyo, Japan, 2019, pp. 54–64.

M. Alshomary et al., “Wikipedia Text Reuse: Within and Without,” in Advances in Information Retrieval, 2019, pp. 747–754.

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

I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “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, 2018, pp. 1930–1940.

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

I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “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), 2018, pp. 386–396.

I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “SemEval-2018 Task 12: The Argument Reasoning Comprehension Task,” in Proceedings of The 12th International Workshop on Semantic Evaluation, 2018, pp. 763–772.

H. Wachsmuth, S. Syed, and B. Stein, “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), 2018, pp. 241–251.

M. Bonfert, M. Spliethöver, R. Arzaroli, M. Lange, M. Hanci, and R. Porzel, “If You Ask Nicely: A Digital Assistant Rebuking Impolite Voice Commands,” in Proceedings of the 20th ACM International Conference on Multimodal Interaction, 2018.

H. Wachsmuth, M. Stede, R. El Baff, K. Al Khatib, M. Skeppstedt, and B. Stein, “Argumentation Synthesis following Rhetorical Strategies,” in Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3753–3765.

Y. Ajjour et al., “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, 2018, pp. 60–65.

R. El Baff, H. Wachsmuth, K. Al Khatib, and B. Stein, “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus,” in Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018, pp. 454–464.

W.-F. Chen and L.-W. Ku, “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling,” IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 10, pp. 2013–2023, 2018.

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J. Kiesel, F. Kneist, M. Alshomary, B. Stein, M. Hagen, and M. Potthast, “Reproducible Web Corpora,” Journal of Data and Information Quality, pp. 1–25, 2018.

W.-F. Chen, H. Wachsmuth, K. Al Khatib, and B. Stein, “Learning to Flip the Bias of News Headlines,” in Proceedings of the 11th International Conference on Natural Language Generation, 2018, pp. 79–88.

W.-F. Chen, M. Hagen, B. Stein, and M. Potthast, “A User Study on Snippet Generation: Text Reuse vs. Paraphrases,” in Proceedings of the 41st International ACM SIGIR Conference on Research &; Development in Information Retrieval, 2018, pp. 1033–1036.