Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 81
Number of items: 81
  • Open Access
    Ramotowska, S., Archambeau, K., Augurzky, P., Schlotterbeck, F., Berberyan, H. S., Van Maanen, L., & Szymanik, J. (2024). Testing two-step models of negative quantification using a novel machine learning analysis of EEG. Language, Cognition and Neuroscience, 39(5), 632-656. https://doi.org/10.1080/23273798.2024.2345302
  • Open Access
    Ramotowska, S., Haaf, J., Van Maanen, L., & Szymanik, J. (2024). Most quantifiers have many meanings. Psychonomic Bulletin & Review, 31(6), 2692-2703. https://doi.org/10.3758/s13423-024-02502-7
  • Open Access
    van de Pol, I., Lodder, P., van Maanen, L., Steinert-Threlkeld, S., & Szymanik, J. (2023). Quantifiers satisfying semantic universals have shorter minimal description length. Cognition, 232, Article 105150. https://doi.org/10.1016/j.cognition.2022.105150
  • Open Access
    Carcassi, F., & Szymanik, J. (2022). Neural Networks Track the Logical Complexity of Boolean Concepts. Open Mind, 6, 132-146. https://doi.org/10.1162/opmi_a_00059
  • Open Access
    Carcassi, F., & Szymanik, J. (2022). Heavy Tails and the Shape of Modified Numerals. Cognitive Science, 46(7), Article e13176. https://doi.org/10.1111/cogs.13176
  • Open Access
    Denić, M., & Szymanik, J. (2022). Are Most and More Than Half Truth-Conditionally Equivalent? Journal of Semantics, 39(2), 261–294. https://doi.org/10.1093/jos/ffab024
  • Open Access
    Ramotowska, S. (2022). Quantifying quantifier representations: Experimental studies, computational modeling, and individual differences. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Carcassi, F., & Szymanik, J. (2021). ‘Most’ vs ‘More Than Half’: An Alternatives Explanation. Proceedings of the Society for Computation in Linguistics, 4, 334-343. Article 30. https://doi.org/10.7275/ej4z-e110
  • Open Access
    Carcassi, F., & Szymanik, J. (2021). An Alternatives Account of ‘Most’ and ‘More Than Half’. Glossa: a journal of general linguistics, 6, Article 146. https://doi.org/10.16995/glossa.5764
  • Open Access
    Jumelet, J., Denić, M., Szymanik, J., Hupkes, D., & Steinert-Threlkeld, S. (2021). Language models use monotonicity to assess NPI licensing. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021: Findings of ACL: ACL-IJCNLP 2021 : August 1-6, 2021 (pp. 4958–4969). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.findings-acl.439
Page 1 of 9