Analyzing the Use of Metaphors in News Editorials for Political Framing

Sengupta, M., El Baff, R., Alshomary, M. & Wachsmuth, H., Jun 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Duh, K., Gomez, H. & Bethard, S. (eds.). Mexico City, Mexico, p. 3621–3631 11 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Modeling the Quality of Dialogical Explanations

Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P. & Wachsmuth, H., 20 May 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). p. 11523-11536 14 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms

Sengupta, M., Dec 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Singapore, p. 4636–4659 24 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

Sengupta, M., Alshomary, M. & Wachsmuth, H., 2022, Proceedings of the 2022 Workshop on Figurative Language Processing. p. 137-142 6 p.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review