4 Publications
2024 | Conference Paper | LibreCat-ID: 55338
Sengupta, Meghdut, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” In 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, Helena Gomez, and Steven Bethard, 3621–3631. Mexico City, Mexico: Association for Computational Linguistics, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 55404
Alshomary, Milad, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp Cimiano, and Henning Wachsmuth. “Modeling the Quality of Dialogical Explanations.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, 11523–11536. Torino, Italia: ELRA and ICCL, 2024.
LibreCat
2023 | Conference Paper | LibreCat-ID: 55406
Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “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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4 Publications
2024 | Conference Paper | LibreCat-ID: 55338
Sengupta, Meghdut, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth. “Analyzing the Use of Metaphors in News Editorials for Political Framing.” In 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, Helena Gomez, and Steven Bethard, 3621–3631. Mexico City, Mexico: Association for Computational Linguistics, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 55404
Alshomary, Milad, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp Cimiano, and Henning Wachsmuth. “Modeling the Quality of Dialogical Explanations.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, 11523–11536. Torino, Italia: ELRA and ICCL, 2024.
LibreCat
2023 | Conference Paper | LibreCat-ID: 55406
Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
LibreCat