Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning
M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), Association for Computational Linguistics, 2023.
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Sengupta, Meghdut;
Alshomary, Milad;
Wachsmuth, Henning
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Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
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Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: Proceedings of the 3rd Workshop on Figurative Language Processing (FLP). Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.flp-1.19
Sengupta, M., Alshomary, M., & Wachsmuth, H. (2023). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 3rd Workshop on Figurative Language Processing (FLP). https://doi.org/10.18653/v1/2022.flp-1.19
@inproceedings{Sengupta_Alshomary_Wachsmuth_2023, title={Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning}, DOI={10.18653/v1/2022.flp-1.19}, booktitle={Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)}, publisher={Association for Computational Linguistics}, author={Sengupta, Meghdut and Alshomary, Milad and Wachsmuth, Henning}, year={2023} }
Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP). Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2022.flp-1.19.
M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2023, doi: 10.18653/v1/2022.flp-1.19.
Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), Association for Computational Linguistics, 2023, doi:10.18653/v1/2022.flp-1.19.
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