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Results: 58
Number of items: 58
  • van der Heijden, N., Abnar, S., & Shutova, E. (2020). A comparison of architectures and pretraining methods for contextualized multilingual word embeddings. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 5, pp. 9090-9097). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6443
  • Open Access
    Dankers, V., Malhotra, K., Kudva, G., Medentsiy, V., & Shutova, E. (2020). Being neighbourly: Neural metaphor identification in discourse. 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. 227-234). Association for Computational Linguistics. https://doi.org/10.18653/v1/P17
  • 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
    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
    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
    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
    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
    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
    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
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