Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment Feedback Comment Generation.” In Proceedings of the 16th International Natural Language Generation Conference, n.d.

Bäumer, Frederik Simon, Wei-Fan Chen, Michaela Geierhos, Joschka Kersting, and Henning Wachsmuth. “Dialogue-Based Requirement Compensation and Style-Adjusted Data-to-Text Generation.”https://doi.org/10.5281/zenodo.8068456__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:65–84. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068456 .

Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.17619/UNIPB/1-1797 .

Alshomary, Milad, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 8782–97, 2022.

Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain.” In Proceedings of the 29th International Conference on Computational Linguistics, 344–54, 2022.

Lauscher, Anne, Henning Wachsmuth, Iryna Gurevych, and Goran Glavas. “On the Role of Knowledge in  Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.

Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, and Benno Stein. “Identifying the Human Values behind Arguments.” In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 4459–71, 2022.

Spliethöver, Maximilian, Maximilian Keiff, and Henning Wachsmuth. “No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media.” In Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Association for Computational Linguistics, 2022.

Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.

Bondarenko, Alexander, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, et al. “Overview of Touché 2022: Argument Retrieval.”https://doi.org/10.1007/978-3-030-99739-7_43__In Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-030-99739-7_43 .

Alshomary, Milad, and Maja Stahl. “Argument Novelty and Validity Assessment via Multitask and Transfer Learning.” In Proceedings of the 9th Workshop on Argument Mining, 111–114. Online and in Gyeongju, Republic of Korea: International Conference on Computational Linguistics, 2022.

Stahl, Maja, Maximilian Spliethöver, and Henning Wachsmuth. “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. Abu Dhabi, United Arab Emirates, n.d.

Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing Culture-Specific Argument Structures in Learner Essays.” In Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.

Alshomary, Milad, Jonas Rieskamp, and Henning Wachsmuth. “Generating Contrastive Snippets for Argument Search.”http://dx.doi.org/10.3233/FAIA220138__In Proceedings of the 9th International Conference on Computational Models of Argument, 21–31, 2022.http://dx.doi.org/10.3233/FAIA220138 .

Chen, Mei-Hua, Garima Mudgal, Wei-Fan Chen, and Henning Wachsmuth. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” In EUROCALL, 2022.

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

Palushi, Juela. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks, 2022.

Budanurmath, Vinaykumar. Propaganda Technique Detection Using Connotation Frames, 2022.

Skitalinskaya, Gabriella, Jonas Klaff, and Henning Wachsmuth. “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, 1718–29, 2021.

Bondarenko, Alexander, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, et al. “Overview of Touché 2021: Argument Retrieval.” In Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 384–95, 2021.