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

Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.
LibreCat: /record/45882
DOI: 10.5281/zenodo.8068456

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

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments
M. Alshomary, R. El Baff, T. Gurcke, H. Wachsmuth, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.
LibreCat: /record/30840

"Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue Corpus for Learning How to Explain
H. Wachsmuth, M. Alshomary, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.
LibreCat: /record/33004

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

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

No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media
M. Spliethöver, M. Keiff, H. Wachsmuth, 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

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

Overview of Touché 2022: Argument Retrieval
A. Bondarenko, M. Fröbe, J. Kiesel, S. Syed, T. Gurcke, M. Beloucif, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2022.
LibreCat: /record/34077
DOI: 10.1007/978-3-030-99739-7_43

Argument Novelty and Validity Assessment via Multitask and Transfer Learning
M. Alshomary, M. Stahl, in: Proceedings of the 9th Workshop on Argument Mining, International Conference on Computational Linguistics, Online and in Gyeongju, Republic of Korea, 2022, pp. 111–114.
LibreCat: /record/34051

To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation
M. Stahl, M. Spliethöver, H. Wachsmuth, in: Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science, Abu Dhabi, United Arab Emirates, n.d.
LibreCat: /record/34082

Analyzing Culture-Specific Argument Structures in Learner Essays
W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
LibreCat: /record/33274

Generating Contrastive Snippets for Argument Search
M. Alshomary, J. Rieskamp, H. Wachsmuth, in: Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31.
LibreCat: /record/32247
DOI: http://dx.doi.org/10.3233/FAIA220138

Investigating the argumentation structures of EFL learners from diverse language backgrounds
M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.
LibreCat: /record/31068

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

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

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

Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
G. Skitalinskaya, J. Klaff, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–1729.
LibreCat: /record/20115

Overview of Touché 2021: Argument Retrieval
A. Bondarenko, L. Gienapp, M. Fröbe, M. Beloucif, Y. Ajjour, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 2021, pp. 384–395.
LibreCat: /record/3774