Search results
Results: 57
Number of items: 57
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van der Heijden, N., Shutova, E., & Yannakoudakis, H. (2023). FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs. In A. Vlachos, & I. Augenstein (Eds.), The 17th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2023 : proceedings of the conference : May 2-6, 2023 (pp. 1187-1200). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.eacl-main.85 -
Choenni, R., Garrette, D., & Shutova, E. (2023). Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. Computational Linguistics, 49(3), 613-641. https://doi.org/10.1162/coli_a_00482 -
Choenni, R., Garrette, D., & Shutova, E. (2023). How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 13244-13257). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.818 -
Langedijk, A., Dankers, V., Lippe, P., Bos, S., Cardenas Guevara, B., Yannakoudakis, H., & Shutova, E. (2022). Meta-learning for fast cross-lingual adaptation in dependency parsing. In S. Muresan, P. Nakov, & A. Villavicencio (Eds.), The 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022 : proceedings of the conference : May 22-27, 2022 (Vol. 1, pp. 8503–8520). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2104.04736, https://doi.org/10.18653/v1/2022.acl-long.582 -
Czinczoll, T., Yannakoudakis, H., Mishra, P., & Shutova, E. (2022). Scientific and Creative Analogies in Pretrained Language Models. In Y. Goldberg, Z. Kozareva, & Y. Zhang (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2022: Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, United Arab Emirates, 7-11 December 2022 (pp. 2094-2100). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.findings-emnlp.153 -
Choenni, R., & Shutova, E. (2022). Investigating language relationships in multilingual sentence encoders through the lens of linguistic typology. Computational Linguistics, 48(3), 635–672. https://doi.org/10.1162/coli_a_00444 -
Srivastava, A., Siro, C., Shutova, E., Jumelet, J., ter Hoeve, M., Giulianelli, M., Lewis, M., Schubert, M., Tong, X., & BIG-bench authors (2022). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2206.04615 -
Djokic, V. G., Shutova, E., & Fiebrink, R. (2021). MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. In CHI '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems : May 8-13, 2021, online virtual conference (originally, Yokohama, Japan) Article 185 Association for Computing Machinery. https://doi.org/10.1145/3411763.3451565
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Mishra, P., Yannakoudakis, H., & Shutova, E. (2021). Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. In M.-F. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), Findings of the Association for Computational Linguistics : Findings of ACL: EMNLP 2021: November 7-11, 2021 (pp. 3374-3385). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.findings-emnlp.287 -
Hada, R., Sudhir, S., Mishra, P., Yannakoudakis, H., Mohammad, S. M., & Shutova, E. (2021). Ruddit: Norms of offensiveness for English Reddit comments. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 2700-2717). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.210
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