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Results: 55
Number of items: 55
  • Open Access
    van der Heijden, N., Yannakoudakis, H., Mishra, P., & Shutova, E. (2021). Multilingual and cross-lingual document classification: A meta-learning approach. 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. 1966-1976). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.168
  • Open Access
    Tong, X., Shutova, E., & Lewis, M. (2021). Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective. In K. Toutanova, A. Rumshisky, L. Zettlemoyer, D. Hakkani-Tur, I. Beltagy, S. Bethard, R. Cotterell, T. Chakraborty, & Y. Zhou (Eds.), The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL-HLT 2021 : proceedings of the conference : June 6-11, 2021 (pp. 4673-4686). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.372
  • Open Access
    Du, Y., Holla, N., Zhen, X., Snoek, C. G. M., & Shutova, E. (2021). Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. 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. 5254-5268). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.409
  • Open Access
    Kiela, D., Firooz, H., Mohan, A., Singh, A., Goswami, V., Fitzpatrick, C. A., Bull, P., Lipstein, G., Nelli, T., Zhu, R., Muennighoff, N., Velioglu, R., Rose, J., Lippe, P., Holla, N., Chandra, S., Rajamanickam, S., Antoniou, G., Shutova, E., ... Parikh, D. (2021). The Hateful Memes Challenge: Competition Report. Proceedings of Machine Learning Research, 133, 344-360. http://proceedings.mlr.press/v133/kiela21a.html
  • Open Access
    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
  • Soeteman, A., Gutierrez, D., Bruni, E., & Shutova, E. (2020). Modelling form-meaning systematicity with linguistic and visual features. 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. 8870-8877). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6416
  • 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
    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
    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
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