Search results
Results: 58
Number of items: 58
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Starace, G., Papakostas, K., Choenni, R., Panagiotopoulos, A., Rosati, M., Leidinger, A., & Shutova, E. (2023). Probing LLMs for Joint Encoding of Linguistic Categories. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 7158-7179). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.476 -
Zhang, Z., Yannakoudakis, H., Zhen, X., & Shutova, E. (2023). CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension. In A. Vlachos, & I. Augenstein (Eds.), The 17th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2023: EACL 2023 : May 2-6, 2023 (pp. 2586-2596). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-eacl.196 -
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 -
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., & 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 -
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 -
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 -
Huguet Cabot, P.-L., Abadi, D., Fischer, A., & Shutova, E. (2021). Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), The 16th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2021 : proceedings of the conference : April 19-23, 2021 (pp. 1921-1945). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.165 -
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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