Alshomary M, Stahl M. Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In: Proceedings of the 9th Workshop on Argument Mining. International Conference on Computational Linguistics; 2022:111–114.

Stahl M, Spliethöver M, Wachsmuth H. To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. In: Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science.

Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022). ; 2022:51-61.

Alshomary M, Rieskamp J, Wachsmuth H. Generating Contrastive Snippets for Argument Search. In: Proceedings of the 9th International Conference on Computational Models of Argument. ; 2022:21-31. doi:http://dx.doi.org/10.3233/FAIA220138

Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: EUROCALL. ; 2022.

Ahmed M. Knowledge Base Enhanced &; User-Centric Dialogue Design for OTF Computing.; 2022.

Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks.; 2022.

Budanurmath V. Propaganda Technique Detection Using Connotation Frames.; 2022.

Skitalinskaya G, Klaff J, Wachsmuth H. Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics. ; 2021:1718-1729.

Bondarenko A, Gienapp L, Fröbe M, et al. Overview of Touché 2021: Argument Retrieval. In: Proceedings of the 43rd Annual European Conference on Information Retrieval Research. ; 2021:384-395.

Nouri Z, Gadiraju U, Engels G, Wachsmuth H. What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing. In: Proceedings of the 32nd ACM Conference on Hypertext and Social Media. ; 2021:165-175.

Spliethöver M, Wachsmuth H. Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. ; 2021:552-559. doi:10.24963/ijcai.2021/77

Syed S, Al-Khatib K, Alshomary M, Wachsmuth H, Potthast M. Generating Informative Conclusions for Argumentative Texts. In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021): Findings. ; 2021:3482-3493.

Barrow J, Jain R, Lipka N, et al. Syntopical Graphs for Computational Argumentation Tasks. In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). ; 2021:1583-1595.

Al-Khatib K, Trautner L, Wachsmuth H, Hou Y, Stein B. Employing Argumentation Knowledge Graphs for Neural Argument Generation. In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). ; 2021:4744-4754.

Kiesel J, Spina D, Wachsmuth H, Stein B. The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases. In: Proceedings of the 2021 Conversational User Interfaces Conference. ; 2021:1-5.

Alshomary M, Wachsmuth H. Toward Audience-aware Argument Generation. Patterns. 2021;2(6).

Alshomary M, Gurcke T, Syed S, et al. Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:184-189.

Nouri Z, Prakash N, Gadiraju U, Wachsmuth H. iClarify - A Tool to Help Requesters Iteratively Improve Task Descriptions in Crowdsourcing. In: Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021. ; 2021.

Gurcke T, Alshomary M, Wachsmuth H. Assessing the Sufficiency of Arguments through Conclusion Generation. In: Proceedings of the 8th Workshop on Argument Mining. ; 2021:67-77.