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Results: 106
Number of items: 106
  • 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
    Dekker, P., & Zuidema, W. (2020). Word prediction in computational historical linguistics. Journal of Language Modelling, 8(2), 295-336. https://doi.org/10.15398/JLM.V8I2.268
  • Open Access
    Uddén, J., Dias Martins, M. J., Zuidema, W., & Fitch, W. T. (2020). Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation. Topics in Cognitive Science, 12(3), 910-924. https://doi.org/10.1111/tops.12442
  • Open Access
    Abnar, S., & Zuidema, W. (2020). Quantifying Attention Flow in Transformers. 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. 4190-4197). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.385
  • Open Access
    Cornelissen, B., Zuidema, W., & Burgoyne, J. A. (2020). Mode Classification and Natural Units in Plainchant. In J. Cuming, J. H. Lee, B. McFee, M. Schedl, J. Devaney, C. McKay, E. Zangerle, & T. de Reuse (Eds.), Proceedings of the 21st International Society for Music Information Retrieval Conference: ISMIR MTL2020, Montréal, Québec, Canada, Virtual Conference, 11 to 16 October 2020 (pp. 869-875). ISMIR. https://doi.org/10.5281/zenodo.4245572
  • Open Access
    Zuidema, W., French, R. M., Alhama, R. G., Ellis, K., O'Donnell, T. J., Sainburg, T., & Gentner, T. Q. (2020). Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Topics in Cognitive Science, 12(3), 925-941. https://doi.org/10.1111/tops.12474
  • 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
  • Open Access
    Hupkes, D. (2020). Hierarchy and interpretability in neural models of language processing. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
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