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.

Blömer J, Löken N. Personal Cross-Platform Reputation. In: Security and Trust Management, STM 2019. Vol 11738. LNCS. ; 2019. doi:10.1007/978-3-030-31511-5_9

Blömer J, Löken N. Dynamic Searchable Encryption with Access Control. In: 12th International Symposium on Foundations and Practice of Security, FPS 2019. Vol 12056. LNCS. Springer; 2019.

Chen W-F, Al-Khatib K, Hagen M, Wachsmuth H, Stein B. 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. ; 2019:76-82.

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

Habernal I, Wachsmuth H, Gurevych I, Stein B. 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). ; 2018:386-396.

Wachsmuth H, Syed S, Stein B. 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). ; 2018:241-251.

Blömer J, Löken N. Cloud Architectures for Searchable Encryption. In: Proceedings of the 13th International Conference on Availability, Reliability and Security, ARES 2018. New York, NY, USA: ACM; :25:1--25:10. doi:10.1145/3230833.3230853

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

Ajjour Y, Wachsmuth H, Kiesel D, 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. ; 2018:60-65.

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

Chen W-F, Wachsmuth H, Al Khatib K, Stein B. Learning to Flip the Bias of News Headlines. In: Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics; 2018:79-88.

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

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

Kiesel J, Wachsmuth H, Al Khatib K, Stein B. 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. ; 2017:13-16.

Wachsmuth H, Stein B, Ajjour Y. “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. ; 2017:1117-1127.

Wachsmuth H, Potthast M, Al-Khatib K, et al. Building an Argument Search Engine for the Web. In: Proceedings of the 4th Workshop on Argument Mining. ; 2017:49-59.

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

Wachsmuth H, Naderi N, Hou Y, et al. 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. ; 2017:176-187.