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Results: 26
Number of items: 26
  • Giulianelli, M., Del Tredici, M., & Fernández, R. (2020, April 28). DUPS: Diachronic Usage Pair Similarity [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5500223
  • Open Access
    Kutuzov, A., & Giulianelli, M. (2020). UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. In A. Herbelot, X. Zhu, A. Palmer, N. Schneider, J. May, & E. Shutova (Eds.), The International Workshop on Semantic Evaluation: COLING 2020 : Proceedings of the Fourteenth Workshop : December 12-13, 2020, Barcelona, Spain (online) (pp. 126-134). International Committee on Computational Linguistics. https://aclanthology.org/2020.semeval-1.14
  • Open Access
    Takmaz, E., Giulianelli, M., Pezzelle, S., Sinclair, A., & Fernández, R. (2020). Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 4350-4368). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.353
  • Open Access
    Giulianelli, M., Del Tredici, M., & Fernández, R. (2020). Analysing Lexical Semantic Change with Contextualised Word Representations. 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. 3960–3973). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.365
  • Fernández, R., Pezzelle, S., Sinclair, A., Calixto, I., Takmaz, E., Giulianelli, M., Gelderloos, L., Bruni, E., Haber, J., Bernardi, R. B., & Baumgärtner, T. (2019). The PhotoBook Task and Dataset [Data set]. GitHub. https://dmg-photobook.github.io/
  • Open Access
    Giulianelli, M., Harding, J., Mohnert, F., Hupkes, D., & Zuidema, W. (2018). Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. In T. Linzen, G. Chrupała, & A. Alishahi (Eds.), The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP: EMNLP 2018 : proceedings of the First Workshop : November 1, 2018, Brussels, Belgium (pp. 240–248). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W18-5426
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