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94 Publications
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2024 | Conference Paper | LibreCat-ID: 55338
Sengupta, Meghdut, et al. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Kevin Duh et al., Association for Computational Linguistics, 2024, pp. 3621–3631.
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2024 | Conference Paper | LibreCat-ID: 55404
Alshomary, Milad, et al. “Modeling the Quality of Dialogical Explanations.” Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari et al., ELRA and ICCL, 2024, pp. 11523–11536.
LibreCat
2024 | Conference Paper | LibreCat-ID: 58722
Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness.” Findings of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei Ku et al., Association for Computational Linguistics, 2024, pp. 9294–9313, doi:10.18653/v1/2024.findings-acl.553.
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2023 | Conference Paper | LibreCat-ID: 34083
Stahl, Maja, and Henning Wachsmuth. “Identifying Feedback Types to Augment Feedback Comment Generation.” Proceedings of the 16th International Natural Language Generation Conference.
LibreCat
2023 | Book | LibreCat-ID: 45863 | 
Haake, Claus-Jochen, et al. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Heinz Nixdorf Institut, Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1797.
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2023 | Conference Paper | LibreCat-ID: 55406
Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor et al., Association for Computational Linguistics, 2023, pp. 4636–4659, doi:10.18653/v1/2023.findings-emnlp.308.
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2023 | Conference Paper | LibreCat-ID: 58723
Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument Generation.” Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, edited by Andreas Vlachos and Isabelle Augenstein, Association for Computational Linguistics, 2023, pp. 957–967, doi:10.18653/v1/2023.eacl-main.67.
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2022 | Conference Paper | LibreCat-ID: 33004
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.” Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–54.
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2022 | Journal Article | LibreCat-ID: 34049
Lauscher, Anne, et al. “On the Role of Knowledge in Computational Argumentation.” Transactions of the Association for Computational Linguistics, 2022.
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2022 | Conference Paper | LibreCat-ID: 22157
Kiesel, Johannes, et al. “Identifying the Human Values behind Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–71.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34082
Stahl, Maja, et al. “To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation.” Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science.
LibreCat
2022 | Conference Paper | LibreCat-ID: 33274
Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
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2022 | Conference Abstract | LibreCat-ID: 31068
Chen, Mei-Hua, et al. “Investigating the Argumentation Structures of EFL Learners from Diverse Language Backgrounds.” EUROCALL, 2022.
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2022 | Conference Paper | LibreCat-ID: 55337
Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” Proceedings of the 29th International Conference on Computational Linguistics, edited by Nicoletta Calzolari et al., International Committee on Computational Linguistics, 2022, pp. 344–354.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
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2022 | Conference Paper | LibreCat-ID: 32247
Alshomary, Milad, et al. “Generating Contrastive Snippets for Argument Search.” Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31, doi:http://dx.doi.org/10.3233/FAIA220138.
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2022 | Conference Paper | LibreCat-ID: 30840
Alshomary, Milad, et al. “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments.” Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–97.
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2021 | Conference Paper | LibreCat-ID: 20115
Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.” Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021, pp. 1718–29.
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2021 | Conference Paper | LibreCat-ID: 3774
Bondarenko, Alexander, et al. “Overview of Touché 2021: Argument Retrieval.” Proceedings of the 43rd Annual European Conference on Information Retrieval Research, 2021, pp. 384–95.
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2021 | Conference Paper | LibreCat-ID: 23708 |
Nouri, Zahra, et al. “What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing.” Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 2021, pp. 165–75.
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