Analyzing the Use of Metaphors in News Editorials for Political Framing

Sengupta, M., El Baff, R., Alshomary, M. & Wachsmuth, H., Juni 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. (Hrsg.). Mexico City, Mexico, S. 3621–3631 11 S. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; Band 1).

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Modeling the Quality of Dialogical Explanations

Alshomary, M., Lange, F., Booshehri, M., Sengupta, M., Cimiano, P. & Wachsmuth, H., 20 Mai 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. (Hrsg.). S. 11523-11536 14 S. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

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Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms

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

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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. S. 137-142 6 S.

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