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Results: 81
Number of items: 81
  • 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
  • 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
    van de Pol, I., Lodder, P., van Maanen, L., Steinert-Threlkeld, S., & Szymanik, J. (2021). Quantifiers satisfying semantic universals are simpler. In 43rd Annual Meeting of the Cognitive Science Society (CogSci 2021): Comparative Cognition Animal Minds : Vienna, Austria, 26-29 July 2021 (Vol. 2, pp. 756-762). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 43). Cognitive Science Society. https://escholarship.org/uc/item/1vm445rp
  • Steinert-Threlkeld, S., & Szymanik, J. (2020). Ease of learning explains semantic universals. Cognition, 195, Article 104076. https://doi.org/10.1016/j.cognition.2019.104076
  • Open Access
    Ramotowska, S., Steinert-Threlkeld, S., Van Maanen, L., & Szymanik, J. (2020). Most, but not more than half, is proportion-dependent and sensitive to individual differences. In M. Franke, N. Kompa, M. Liu, J. L. Mueller, & J. Schwab (Eds.), Proceedings of Sinn und Bedeutung 24 (Vol. 2, pp. 165–182). Osnabrück University. https://doi.org/10.18148/sub/2020.v24i2.891
  • Open Access
    Schlotterbeck, F., Ramotowska, S., van Maanen, L., & Szymanik, J. (2020). Representational complexity and pragmatics cause the monotonicity effect. In 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): Developing a Mind: Learning in Humans, Animals, and Machines : online, 29 July-1 August 2020 (Vol. 5, pp. 3397-3403). Cognitive Science Society. https://cogsci.mindmodeling.org/2020/papers/0825/index.html
  • Open Access
    Denić, M., Steinert-Threlkeld, S., & Szymanik, J. (2020). Complexity/informativeness trade-off in the domain of indefinite pronouns. Proceedings from Semantics and Linguistic Theory, 30, 166-184. https://doi.org/10.3765/salt.v30i0.4811
  • Open Access
    Kochari, A. (2020). Perceiving and communicating magnitudes: Behavioral and electrophysiological studies. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • de Haan, R., & Szymanik, J. (2019). Characterizing polynomial Ramsey quantifiers. Mathematical Structures in Computer Science, 29(6), 896-908. https://doi.org/10.1017/S0960129518000397
  • Szymanik, J. (2019). Bridging Logic, Philosophy, Computer and Cognitive Science: in the Memory of Marcin Mostowski (1955-2017): Introduction. Fundamenta Informaticae, 164(4), i-ii. https://doi.org/10.3233/FI-2019-1769
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