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Results: 55
Number of items: 55
  • 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
    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
    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
    Ponti, E. M., O'Horan, H., Berzak, Y., Vulić, I., Reichart, R., Poibeau, T., Shutova, E., & Korhonen, A. (2019). Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. Computational Linguistics, 45(3), 559-601. https://doi.org/10.1162/coli_a_00357
  • Open Access
    Davis, C., Bulat, L., Vero, A., & Shutova, E. (2019). Deconstructing Multimodality: Visual Properties and Visual Context in Human Semantic Processing. In R. Mihalcea, E. Shutova, L.-W. Ku, K. Evang, & S. Poria (Eds.), Lexical and Computational Semantics (*SEM): NAACL HLT 2019 : proceedings of the Eighth Conference : June 6-7, 2019, Minneapolis (pp. 118-124). The Association for Computational Linguistics. https://doi.org/10.18653/v1/S19-1013
  • 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
  • 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
    Mishra, P., Del Tredici, M., Yannakoudakis, H., & Shutova, E. (2019). Abusive language detection with graph convolutional networks. 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. 2145–2150). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1221
  • 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
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