Output

  1. Jakub Szymanik and Camilo Thorne. Semantic complexity influences quantifier distribution in corpora, Language Sciences, 2017.
  2. Shane Steinert-Threlkeld. Uniform Definability in Assertability Semantics.  Proceedings of the 21st Amsterdam Colloquium, 2017.
  3. Natalia Talmina, Arnold Kochari, and Jakub Szymanik. Quantifiers and verification strategies: connecting the dots. Proceedings of the 21st Amsterdam Colloquium, 2017.
  4. Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik, “Some of them can Be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers“, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018 (arXiv: 1806.00354).
  5. Jonathan Sippel and Jakub Szymanik. Monotonicity and the Complexity of Reasoning with Quantifiers. Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018.
  6. Iris van de Pol, Iris van Rooij, and Jakub Szymanik. Parameterized complexity of theory of mind reasoning in dynamic epistemic logic. Journal of Logic, Language, and Information, 2018.
  7. Bonan Zhao, Iris van de Pol, Maartje Raijmakers, Jakub Szymanik. Predicting Cognitive Difficulty of the Deductive Mastermind Game with Dynamic Epistemic Logic Models. Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018.
  8. Shane Steinert-Threlkeld.  Paying Attention to Function Words, Emergent Communication Workshop @ 32nd Conference on Neural Information Processing Systems, 2018.
  9. Jakub Szymanik and Rineke Verbrugge. Tractability and the computational mind. The Routledge Handbook of the Computational Mind. M Sprevak, M. Colombo (Eds.), 2018, pp. 339–353.
  10. Ronald de Haan and Jakub Szymanik. Characterizing polynomial Ramsey quantifiers, Mathematical Structures in Computer Science, Volume 29, Issue 6, 2019, pp. 896-908.
  11. J. Szymanik and N. Gierasimczuk. Special Issue of Fundamenta Informaticae  “Bridging Logic, Philosophy, Computer and Cognitive Science: in the Memory of Marcin Mostowski (1955-2017”), Vol. 164 (4), 2019. Introduction by J. Szymanik.
  12. Lewis O’Sullivan and Shane Steinert-Threlkeld.  Neural Models of the Psychosemantics of “Most”.  Proceedings of the 9th Conference on Cognitive Modeling and Computational Linguistics, 2019.
  13. Iris van de Pol, Shane Steinert-Threlkeld, and Jakub Szymanik. Complexity and learnability in the explanation of semantic universals. Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2019.
  14. Fausto Carcassi, Shane Steinert-Threlkeld, and Jakub Szymanik. The emergence of monotone quantifiers via iterated learning, Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2019.
  15. Shane Steinert-Threlkeld and Jakub Szymanik.  Ease of Learning Explains Semantic Universals, Cognition, 2020.
  16. Shane Steinert-Threlkeld and Jakub Szymanik.  Learnability and Semantic Universals.  Semantics & Pragmatics, 2020.
  17. Shane Steinert-Threlkeld. An Explanation of the Veridical Uniformity Universal, Journal of Semantics, 2020.
  18. Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen, Jakub Szymanik. Most, but not more than half, is proportion-dependent and sensitive to individual differences. Proceedings of Sinn und Bedeutung, 2019. 
  19. Denić, Milica and Yasutada Sudo. (2019). “Donkey anaphora in non-monotonic environments“. Proceedings of Amsterdam Colloquium, 2019.
  20. Shane Steinert-Threlkeld. Quantifiers in natural language optimize the
    simplicity/informativeness trade-off. Proceedings of Amsterdam Colloquium, 2019.
  21. Fabian Schlotterbeck, Sonia Ramotowska, Leendert van Maanen, Jakub Szymanik. Representational complexity and pragmatics cause the monotonicity effect. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020.
  22. Fausto Carcassi and Jakub Szymanik. ‘Most’ vs ‘More Than Half’: An Alternatives Explanation. Proceedings of the Society for Computation in Linguistics, Vol. 4, Article 30, 2020.
  23. Milica Denić, Shane Steinert-Threlkeld, Jakub Szymanik. Complexity/informativeness trade-off in the domain of indefinite pronouns. Proceedings of Semantics and Linguistic Theory 30, 2020.
  24. Shane Steinert-Threlkeld. Toward the Emergence of Nontrivial Compositionality. Philosophy of Science, 87(5), 897-909, 2020.
  25. Fausto Carcassi, Shane Steinert-Threlkeld, and Jakub Szymanik. Monotone Quantifiers Emerge via Iterated Learning. Cognitive Science, 45 (8), 2021.
  26. Jaap Jumelet, Milica Denić, Jakub Szymanik, Dieuwke Hupkes, and Shane Steinert-Threlkeld. Language models use monotonicity to assess NPI licensing. Findings of the Association of Computational Linguistics, 2021.
  27. Iris van de Pol, Shane Steinert-Threlkeld, Paul Lodder, Leendert van Maanen, Jakub Szymanik. Quantifiers satisfying semantic universals are simpler.  Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021.
  28. Fausto Carcassi and Jakub Szymanik. The shape of modified numerals. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021.
  29. Jakub Szymanik. Review of “Conjoining Meanings: Semantics without Truth Values”. The Philosophical Review, 130 (1): 171–175, 2021.
  30. Milica Denić, Vincent Homer, Daniel Rothschild, and Emmanuel Chemla. The influence of polarity items on inferential judgments. Cognition, Volume 215, 2021.
  31. Peter Hawke, Shane Steinert-Threlkeld. Semantic expressivism for epistemic modals. Linguistics and Philosophy 44, 475–511, 2021.
  32. Milica Denić and Yasutada Sudo. Donkey anaphora in non-monotonic environments“. To appear in Journal of Semantics, 2021.
  33. Fausto Carcassi and Jakub Szymanik. An Alternatives Account of “Most” and “More than half”. Glossa: A Journal of General Linguistics, 6(1): 146, pp. 1–40, 2021
  34. Milica Denić and Jakub Szymanik. Are most and more than half truth-conditionally equivalent?  Journal of Semantics, 2022. 
  35. Shane Steinert-Threlkeld. Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals. Entropy, 2021. 
  36. Heming Strømholt Bremnes, Jakub Szymanik, Giosuè Baggio. Computational Complexity Explains Neural Differences in Quantifier Verification. Cognition, 2022.
  37. Milica Denić, Shane Steinert-Threlkeld, Jakub Szymanik. Indefinite pronouns optimize the simplicity/informativeness trade-off. Cognitive Science, 2022.
  38. Milica Denić and Jakub Szymanik. Reverse-engineering the language of thought: a new approach. Proceedings of the CogSci 2022. 
  39. Fausto Carcassi  and Jakub Szymanik. Heavy Tails and the Shape of Modified Numerals. Cognitive Science 2022.
  40. Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen, Jakub Szymanik. Individual differences in semantic representations: The case of most and more than half. Cognitive Science 2023.
  41. Fausto Carcassi and Giorgio Sbardolini.  Assertion, Denial, and the Evolution of Boolean operators. Mind & Language, 2023. 
  42. Fausto Carcassi and Jakub Szymanik J. Neural Networks Track the Logical Complexity of Boolean Concepts. Open Mind, 2022.
  43. Iris van de Pol, Paul Lodder, Leender van Maanen, Shane Steinert-Threlkeld, Jakub Szymanik. Quantifiers satisfying semantic universals have shorter minimal description length. To appear in Cognition, 2022 (email for preprint).
  44. Milica Denić and Jakub Szymanik. Recursive numeral systems optimize the trade-off between lexicon size and average morphosyntactic complexity. Proceedings of 2022 Amsterdam Colloquium.  (email for preprint)
  45. Sonia Ramotowska,  Leendert van Maanen, Jakub Szymanik. Does ease of learning explain quantifier universals?,  email for the manuscript.
  46. Fausto Carcassi and Jakub Szymanik.  Smaller Languages of Thought can be Recovered More Easily from Learning Data, email for the manuscript. 
  47. Sonia Ramotowska,  Leendert van Maanen, Jakub Szymanik. Does ease of learning explain quantifier universals?, email for the manuscript.