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121 Publications


2023 | Conference Paper | LibreCat-ID: 34083
Stahl M, Wachsmuth H. Identifying Feedback Types to Augment Feedback Comment Generation. In: Proceedings of the 16th International Natural Language Generation Conference.
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2023 | Book Chapter | LibreCat-ID: 45882 | OA
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
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2023 | Book | LibreCat-ID: 45863 | OA
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
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2022 | Conference Paper | LibreCat-ID: 30840
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.
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2022 | Conference Paper | LibreCat-ID: 33004
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.
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2022 | Journal Article | LibreCat-ID: 34049
Lauscher A, Wachsmuth H, Gurevych I, Glavaš G. On the Role of Knowledge in  Computational Argumentation. Transactions of the Association for Computational Linguistics. Published online 2022.
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2022 | Conference Paper | LibreCat-ID: 22157
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.
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2022 | Conference Paper | LibreCat-ID: 34047
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 | arXiv
 

2022 | Conference Paper | LibreCat-ID: 34067
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.
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2022 | Book Chapter | LibreCat-ID: 34077
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
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2022 | Conference Paper | LibreCat-ID: 34051
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.
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2022 | Conference Paper | LibreCat-ID: 34082
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.
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2022 | Conference Paper | LibreCat-ID: 33274
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.
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2022 | Conference Paper | LibreCat-ID: 32247
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
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2022 | Conference Abstract | LibreCat-ID: 31068
Chen M-H, Mudgal G, Chen W-F, Wachsmuth H. Investigating the argumentation structures of EFL learners from diverse language backgrounds. In: EUROCALL. ; 2022.
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2022 | Mastersthesis | LibreCat-ID: 29000
Ahmed M. Knowledge Base Enhanced & User-Centric Dialogue Design for OTF Computing.; 2022.
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2022 | Bachelorsthesis | LibreCat-ID: 45790
Palushi J. Domain-Aware Text Professionalization Using Sequence-to-Sequence Neural Networks.; 2022.
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2022 | Mastersthesis | LibreCat-ID: 45789
Budanurmath V. Propaganda Technique Detection Using Connotation Frames.; 2022.
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2021 | Conference Paper | LibreCat-ID: 20115
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.
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2021 | Conference Paper | LibreCat-ID: 3774
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.
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