Alshomary M, Lange F, Booshehri M, Sengupta M, Cimiano P, Wachsmuth H. Modeling the Quality of Dialogical Explanations. in Calzolari N, Kan MY, Hoste V, Lenci A, Sakti S, Xue N, Hrsg., 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. European Language Resources Association (ELRA). 2024. S. 11523-11536. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings). doi: 10.48550/arXiv.2403.00662

Sengupta M, El Baff R, Alshomary M, Wachsmuth H. Analyzing the Use of Metaphors in News Editorials for Political Framing. in Duh K, Gomez H, Bethard S, Hrsg., Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Mexico City, Mexico: Association for Computational Linguistics (ACL). 2024. S. 3621–3631. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024).

Sengupta M. Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. in Findings of the Association for Computational Linguistics: EMNLP 2023. Singapore: Association for Computational Linguistics (ACL). 2023. S. 4636–4659

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. Association for Computational Linguistics (ACL). 2022. S. 137-142