Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. In: Proceedings of the 16th International Natural Language Generation Conference.
LibreCat: /record/34083

Bäumer FS, Chen W-F, Geierhos M, Kersting J, Wachsmuth H. Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:65-84. doi:10.5281/zenodo.8068456
LibreCat: /record/45882
DOI: 10.5281/zenodo.8068456

Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Heinz Nixdorf Institut, Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1797
LibreCat: /record/45863
DOI: 10.17619/UNIPB/1-1797

Alshomary M, El Baff R, Gurcke T, Wachsmuth H. 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. ; 2022:8782-8797.
LibreCat: /record/30840

Wachsmuth H, Alshomary M. “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. ; 2022:344-354.
LibreCat: /record/33004

Lauscher A, Wachsmuth H, Gurevych I, Glavas G. On the Role of Knowledge in  Computational Argumentation. Transactions of the Association for Computational Linguistics. Published online 2022.
LibreCat: /record/34049

Kiesel J, Alshomary M, Handke N, Cai X, Wachsmuth H, Stein B. Identifying the Human Values behind Arguments. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. ; 2022:4459-4471.
LibreCat: /record/22157

Spliethöver M, Keiff M, Wachsmuth H. 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.
LibreCat: /record/34047
arXiv: 2211.03634

Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: Proceedings of the 2022 Workshop on Figurative Language Processing. ; 2022.
LibreCat: /record/34067

Bondarenko A, Fröbe M, Kiesel J, et al. Overview of Touché 2022: Argument Retrieval. In: Lecture Notes in Computer Science. Springer International Publishing; 2022. doi:10.1007/978-3-030-99739-7_43
LibreCat: /record/34077
DOI: 10.1007/978-3-030-99739-7_43

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.
LibreCat: /record/34051

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.
LibreCat: /record/34082

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.
LibreCat: /record/33274

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
LibreCat: /record/32247
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.
LibreCat: /record/31068

Ahmed M. Knowledge Base Enhanced &; User-Centric Dialogue Design for OTF Computing.; 2022.
LibreCat: /record/29000

Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks.; 2022.
LibreCat: /record/45790

Budanurmath V. Propaganda Technique Detection Using Connotation Frames.; 2022.
LibreCat: /record/45789

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.
LibreCat: /record/20115

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.
LibreCat: /record/3774