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Results: 57
Number of items: 57
  • Open Access
    Holla, N., Mishra, P., Yannakoudakis, H., & Shutova, E. (2020). Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics : Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp. 4517-4533). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.405
  • Open Access
    Klebanov, B. B., Shutova, E., Lichtenstein, P., Muresan, S., Leong, C. W., Feldman, A., & Ghosh, D. (2020). Introduction. In B. B. Klebanov, E. Shutova, P. Lichtenstein, S. Muresan, C. Wee, A. Feldman, & D. Ghosh (Eds.), Figurative Language Processing : Proceedings of the Second Workshop: ACL 2020 : July 9, 2020 (pp. iii-iv). Association for Computational Linguistics. https://aclanthology.org/2020.figlang-1.0
  • Open Access
    Djokic, V. G., Malliard, J., Bulat, L., & Shutova, E. (2020). Decoding brain activity associated with literal and metaphoric sentence comprehension using distributional semantic models. Transactions of the Association of Computational Linguistics, 8, 231-246. https://doi.org/10.1162/tacl_a_00307
  • Open Access
    Rajamanickam, S., Mishra, P., Yannakoudakis, H., & Shutova, E. (2020). Joint Modelling of Emotion and Abusive Language Detection. In D. Jurafsky, J. Chai, N. Schluter, & J. Tetreault (Eds.), The 58th Annual Meeting of the Association for Computational Linguistics: ACL 2020 : Proceedings of the Conference : July 5-10, 2020 (pp. 4270-4279). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.394
  • Open Access
    Djokic, V. G., & Shutova, E. (2020). Modelling Brain Activity Associated with Metaphor Processing with Distributional Semantic Models. In 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): Developing a Mind: Learning in Humans, Animals, and Machines : online, 29 July-1 August 2020 (Vol. 5, pp. 3118-3124). Cognitive Science Society. https://cognitivesciencesociety.org/cogsci20/papers/0779/
  • Open Access
    Huguet Cabot, P.-L., Dankers, V., Abadi, D., Fischer, A., & Shutova, E. (2020). The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics. Findings of ACL: EMNLP 2020: 16-20 November, 2020 (pp. 4479-4488). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.402
  • Open Access
    Mu, J., Yannakoudakis, H., & Shutova, E. (2019). Learning outside the box: Discourse-level features improve metaphor identification. In J. Burstein, C. Doran, & T. Solorio (Eds.), The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL HLT 2019 : proceedings of the conference : June 2-June 7, 2019 (Vol. 1, pp. 596-601). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1059
  • Open Access
    Aglionby, G., Davis, C., Mishra, P., Caines, A., Yannakoudakis, H., Rei, M., Shutova, E., & Buttery, P. (2019). CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets. In J. May, E. Shutova, A. Herbelot, X. Zhu, M. Apidianaki, & S. M. Mohammad (Eds.), The International Workshop on Semantic Evaluation : Proceedings of the Thirteenth Workshop: NAACL HLT 2019 : June 6-June 7, 2019, Minneapolis, Minnesota, USA (pp. 556-563). Association for Computational Linguistics. https://doi.org/10.18653/v1/S19-2100
  • Open Access
    Dankers, V., Rei, M., Lewis, M., & Shutova, E. (2019). Modelling the interplay of metaphor and emotion through multitask learning. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 2218-2229). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1227
  • Open Access
    Djokic, V. G., Maillard, J., Bulat, L., & Shutova, E. (2019). Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 5155-5165). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1508
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