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Results: 55
Number of items: 55
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Choenni, R., Shutova, E., & van Rooij, R. (2021). Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?'. In M.-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 1477-1491). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.111
  • Open Access
    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
  • Open Access
    Djokic, V. G., Dankers, V., & Shutova, E. (2021). Episodic memory demands modulate novel metaphor use during event narration. In 43rd Annual Meeting of the Cognitive Science Society (CogSci 2021): Comparative Cognition Animal Minds : Vienna, Austria, 26-29 July 2021 (Vol. 5, pp. 2904-2909). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 43). Cognitive Science Society. https://escholarship.org/uc/item/2qx166t9
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