{"type":"conference","publisher":"Association for Computational Linguistics","project":[{"_id":"127","name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens"}],"citation":{"chicago":"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.","mla":"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.","short":"M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), Association for Computational Linguistics, 2023.","ieee":"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.","apa":"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","bibtex":"@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} }","ama":"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"},"user_id":"99459","author":[{"first_name":"Meghdut","last_name":"Sengupta","full_name":"Sengupta, Meghdut"},{"full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad"},{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"}],"year":"2023","publication_status":"published","doi":"10.18653/v1/2022.flp-1.19","date_created":"2024-03-11T11:55:06Z","status":"public","_id":"52477","publication":"Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)","title":"Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning","date_updated":"2024-03-12T10:53:46Z","language":[{"iso":"eng"}]}