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Results: 102
Number of items: 102
  • Open Access
    Mohebbi, H., Chrupała, G., Zuidema, W., & Alishahi, A. (2023). Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers. In H. Bouamar, 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. 8249-8260). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.513
  • Open Access
    Giulianelli, M. (2023). Neural models of language use: Studies of language comprehension and production in context. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sinclair, A., Jumelet, J., Zuidema, W., & Fernández, R. (2022). Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations. Transactions of the Association of Computational Linguistics, 10, 1031–1050. https://doi.org/10.1162/tacl_a_00504
  • Open Access
    van der Wal, O., Jumelet, J., Schulz, K., & Zuidema, W. (2022). The Birth of Bias: A case study on the evolution of gender bias in an English language model. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2207.10245
  • Open Access
    van der Wal, O., Bachmann, D., Leidinger, A., van Maanen, L., Zuidema, W., & Schulz, K. (2022). Undesirable biases in NLP: Averting a crisis of measurement. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2211.13709
  • Open Access
    Arnoult, S. I. (2021). Adjunction in hierarchical phrase-based translation. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    Schlichtkrull, M. S. (2021). Incorporating structure into neural models for language processing. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    Cornelissen, B., Zuidema, W., & Burgoyne, J. A. (2021). Cosine Contours: a Multipurpose Representation for Melodies. In J. H. Lee, A. Lerch, Z. Duan, J. Nam, P. Rao, P. Van Kranenburg, & A. Srinivasamurthy (Eds.), Proceedings: The 22nd International Society for Music Information Retrieval Conference: ISMIR 2021 : November 7-12, 2021 (online) (pp. 135-142). ISMIR. https://doi.org/10.5281/zenodo.5624531
  • ten Cate, C., Gervain, J., Levelt, C. C., Petkov, C. I., & Zuidema, W. (2020). Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational Approaches. Topics in Cognitive Science, 12(3), 804-814. https://doi.org/10.1111/tops.12493
  • Open Access
    Le, P., & Zuidema, W. (2020). DoLFIn: Distributions over Latent Features for Interpretability. In D. Scott, N. Bel, & C. Zong (Eds.), The 28th International Conference on Computational Linguistics: COLING 2020 : Proceedings of the Conference : December 8-13, 2020, Barcelona, Spain (Online) (pp. 1468-1474). International Committee on Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-main.127
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