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Results: 14
Number of items: 14
  • Open Access
    Choenni, R., Garrette, D., & Shutova, E. (2023). How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 13244-13257). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.818
  • Open Access
    Choenni, R., & Shutova, E. (2022). Investigating language relationships in multilingual sentence encoders through the lens of linguistic typology. Computational Linguistics, 48(3), 635–672. https://doi.org/10.1162/coli_a_00444
  • Open Access
    Choenni, R., Shutova, E., & van Rooij, R. (2021). Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?'. In M.-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 1477-1491). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.111
  • Open Access
    Abnar, S., Beinborn, L., Choenni, R., & Zuidema, W. (2019). Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. In T. Linzen, G. Chrupała, Y. Belinkov, & D. Hupkes (Eds.), The BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP at ACL 2019: ACL 2019 : proceedings of the Second Workshop : August 1, 2019, Florence, Italy (pp. 191-203). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4820
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