{"id":13,"date":"2017-03-04T15:31:54","date_gmt":"2017-03-04T15:31:54","guid":{"rendered":"http:\/\/www.jakubszymanik.com\/CoSaQ\/?page_id=13"},"modified":"2022-12-14T22:20:08","modified_gmt":"2022-12-14T22:20:08","slug":"output","status":"publish","type":"page","link":"https:\/\/www.jakubszymanik.com\/CoSaQ\/output\/","title":{"rendered":"Output"},"content":{"rendered":"
    \n
  1. Jakub Szymanik and Camilo Thorne. Semantic complexity influences quantifier distribution in corpora<\/a>, Language Sciences<\/em>, 2017.<\/li>\n
  2. Shane Steinert-Threlkeld. Uniform Definability in Assertability Semantics<\/a>.\u00a0 Proceedings of the 21st Amsterdam Colloquium<\/em>, 2017.<\/li>\n
  3. Natalia Talmina, Arnold Kochari, and Jakub Szymanik. Quantifiers and verification strategies: connecting the dots<\/a>. Proceedings of the 21st Amsterdam Colloquium<\/em>, 2017.<\/li>\n
  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<\/a>“, Proceedings of the 56th Annual Meeting of the <\/em>Association for Computational Linguistics,<\/em> 2018<\/span>\u00a0(arXiv: 1806.00354<\/a>).<\/li>\n
  5. Jonathan Sippel and Jakub Szymanik. Monotonicity and the Complexity of Reasoning with Quantifiers<\/a>. Proceedings of the 40th Annual Meeting of the Cognitive Science Society<\/em>, 2018.<\/li>\n
  6. Iris van de Pol, Iris van Rooij, and Jakub Szymanik.\u00a0Parameterized complexity of theory of mind reasoning in dynamic epistemic logic<\/a>.\u00a0Journal of Logic, Language, and Information<\/em>, 2018.<\/li>\n
  7. Bonan Zhao, Iris van de Pol,\u00a0Maartje Raijmakers,\u00a0Jakub Szymanik.\u00a0Predicting Cognitive Difficulty of the Deductive Mastermind Game with Dynamic Epistemic Logic Models.<\/a> Proceedings of the 40th Annual Meeting of the Cognitive Science Society<\/em>, 2018.<\/li>\n
  8. Shane Steinert-Threlkeld.\u00a0\u00a0Paying Attention to Function Words<\/a>, Emergent Communication Workshop @ 32nd Conference on Neural Information Processing Systems<\/em>, 2018.<\/li>\n
  9. Jakub Szymanik and Rineke Verbrugge. Tractability and the computational mind<\/a>. The Routledge Handbook of the Computational Mind<\/em>. M Sprevak, M. Colombo (Eds.), 2018, pp. 339\u2013353.<\/li>\n
  10. Ronald de Haan and Jakub Szymanik.\u00a0Characterizing polynomial Ramsey quantifiers<\/a>,\u00a0Mathematical Structures in\u00a0Computer Science<\/em>, Volume 29, Issue 6, 2019, pp. 896-908.<\/li>\n
  11. J. Szymanik and N. Gierasimczuk. Special Issue of Fundamenta Informaticae<\/em>\u00a0 “Bridging Logic, Philosophy, Computer and Cognitive Science: in the Memory of Marcin Mostowski (1955-2017”), Vol. 164 (4), 2019. Introduction by J. Szymanik<\/a>.<\/li>\n
  12. Lewis O’Sullivan and Shane Steinert-Threlkeld.\u00a0 Neural Models of the Psychosemantics of “Most”<\/a>.\u00a0 Proceedings of the 9th Conference on Cognitive Modeling and Computational Linguistics<\/em>, 2019.<\/li>\n
  13. Iris van de Pol, Shane Steinert-Threlkeld, and Jakub Szymanik. Complexity and learnability in the explanation of semantic universals.<\/a>\u00a0Proceedings of the 41st Annual Meeting of the <\/em>Cognitive Science Society<\/em>, 2019.<\/span><\/li>\n
  14. Fausto Carcassi, Shane Steinert-Threlkeld, and Jakub Szymanik. The emergence of monotone quantifiers via iterated learning<\/a>, Proceedings of the 41st Annual Meeting of the <\/em>Cognitive Science Society<\/em>, 2019<\/span>.<\/li>\n
  15. Shane Steinert-Threlkeld and Jakub Szymanik.\u00a0 Ease of Learning Explains Semantic Universals<\/a>, Cognition<\/em>, 2020.<\/li>\n
  16. Shane Steinert-Threlkeld and Jakub Szymanik.\u00a0 Learnability and Semantic Universals<\/a>.\u00a0 Semantics & Pragmatics<\/em>, 2020.<\/li>\n
  17. Shane Steinert-Threlkeld. An Explanation of the Veridical Uniformity Universal<\/a>, Journal of Semantics<\/em>, 2020.<\/li>\n
  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<\/a>. Proceedings of Sinn und Bedeutung<\/em>, 2019.\u00a0<\/li>\n
  19. Deni\u0107, Milica and Yasutada Sudo. (2019). “Donkey anaphora in non-monotonic environments<\/a><\/span>“. Proceedings of Amsterdam Colloquium,<\/em> 2019.<\/li>\n
  20. Shane Steinert-Threlkeld. Quantifiers in natural language optimize the<\/a>
    simplicity\/informativeness trade-off. Proceedings of Amsterdam Colloquium,<\/em> 2019.<\/li>\n
  21. Fabian Schlotterbeck, Sonia Ramotowska, Leendert van Maanen, Jakub Szymanik. Representational complexity and pragmatics cause the monotonicity effect<\/a>. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society<\/span><\/em>, 2020.<\/span><\/em><\/li>\n
  22. Fausto Carcassi and Jakub Szymanik.\u00a0\u2018Most\u2019 vs \u2018More Than Half\u2019: An Alternatives Explanation<\/a>.\u00a0Proceedings of the Society for Computation in Linguistics,<\/em>\u00a0Vol. 4, Article 30, 2020.<\/li>\n
  23. Milica Deni\u0107, Shane Steinert-Threlkeld, Jakub Szymanik.\u00a0Complexity\/informativeness trade-off in the domain of indefinite pronouns<\/a>.\u00a0Proceedings of Semantics and Linguistic Theory 30<\/em>, 2020.<\/li>\n
  24. Shane Steinert-Threlkeld. Toward the Emergence of Nontrivial Compositionality<\/a>. Philosophy of Science<\/em>, 87(5), 897-909, 2020.<\/li>\n
  25. Fausto Carcassi, Shane Steinert-Threlkeld, and Jakub Szymanik. Monotone Quantifiers Emerge via Iterated Learning<\/a>. Cognitive Science<\/em>, 45 (8), 2021.<\/li>\n
  26. Jaap Jumelet, Milica Deni\u0107, Jakub Szymanik, Dieuwke Hupkes, and Shane Steinert-Threlkeld. Language models use monotonicity to assess NPI licensing<\/a>. Findings of the Association of Computational Linguistics<\/em>, 2021.<\/li>\n
  27. Iris van de Pol, Shane Steinert-Threlkeld, Paul Lodder, Leendert van Maanen, Jakub Szymanik. Quantifiers satisfying semantic universals are simpler<\/a>.<\/em>\u00a0 Proceedings of the 43rd Annual Meeting of the Cognitive Science Society<\/em>, 2021.<\/li>\n
  28. Fausto Carcassi and Jakub Szymanik. The shape of modified numerals<\/a>. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society<\/em>, 2021.<\/li>\n
  29. Jakub Szymanik.\u00a0Review of \u201cConjoining Meanings: Semantics without Truth Values\u201d<\/a>.\u00a0The Philosophical Review<\/em>, 130 (1): 171\u2013175, 2021.<\/li>\n
  30. Milica Deni\u0107, Vincent Homer, Daniel Rothschild, and Emmanuel Chemla. The influence of polarity items on inferential judgments.<\/a><\/span>\u00a0Cognition<\/em>, Volume 215, 2021.<\/li>\n
  31. Peter Hawke, Shane Steinert-Threlkeld. Semantic expressivism for epistemic modals<\/a>. Linguistics and Philosophy<\/em> 44, 475\u2013511, 2021.<\/li>\n
  32. Milica Deni\u0107 and Yasutada Sudo. Donkey anaphora in non-monotonic environments<\/a><\/span>“. To appear in Journal of Semantics, 2021.<\/em><\/li>\n
  33. Fausto Carcassi and Jakub Szymanik.\u00a0An Alternatives Account of \u201cMost\u201d and \u201cMore than half\u201d<\/a>. Glossa: A Journal of General Linguistics<\/em>, 6(1): 146, pp. 1\u201340, 2021<\/li>\n
  34. Milica Deni\u0107 and Jakub Szymanik.\u00a0Are\u00a0most<\/em>\u00a0and\u00a0more than half<\/em>\u00a0truth-conditionally equivalent?<\/a>\u00a0 Journal of Semantics<\/em>, 2022.\u00a0<\/li>\n
  35. Shane Steinert-Threlkeld. Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals. Entropy<\/em>, 2021.\u00a0<\/li>\n
  36. Heming Str\u00f8mholt Bremnes, Jakub Szymanik, Giosu\u00e8 Baggio.\u00a0Computational Complexity Explains Neural Differences in Quantifier Verification<\/a>.\u00a0Cognition, 2022.<\/em><\/li>\n
  37. Milica Deni\u0107, Shane Steinert-Threlkeld, Jakub Szymanik. Indefinite pronouns optimize the simplicity\/informativeness trade-off<\/a>. Cognitive Science, 2022.<\/li>\n
  38. Milica Deni\u0107 and Jakub Szymanik. Reverse-engineering the language of thought: a new approach<\/a>. Proceedings of the CogSci 2022.\u00a0<\/li>\n
  39. Fausto Carcassi\u00a0 and Jakub Szymanik. Heavy Tails and the Shape of Modified Numerals<\/a>. Cognitive Science 2022.<\/li>\n
  40. Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen, Jakub Szymanik. Individual differences in semantic representations: The case of most and <\/a>more than half. Cognitive Science 2023.<\/li>\n
  41. Fausto Carcassi and Giorgio Sbardolini.\u00a0 Assertion, Denial, and the Evolution of Boolean operators<\/a>.<\/a> Mind & Language, 2023.\u00a0<\/li>\n
  42. Fausto Carcassi and Jakub Szymanik J. Neural Networks Track the Logical Complexity of Boolean Concepts<\/a>. Open Mind, 2022.<\/li>\n
  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<\/em>, 2022 (email for preprint).<\/li>\n
  44. Milica Deni\u0107 and Jakub Szymanik. Recursive numeral systems optimize the trade-off between <\/span>lexicon size and average morphosyntactic complexity. Proceedings of 2022 Amsterdam Colloquium.\u00a0 (email for preprint)<\/span><\/li>\n
  45. Sonia Ramotowska,\u00a0 Leendert van Maanen, Jakub Szymanik. Does ease of learning explain quantifier universals?,\u00a0 email for the manuscript.<\/li>\n
  46. Fausto Carcassi and Jakub Szymanik.\u00a0 Smaller Languages of Thought can be Recovered More Easily from Learning Data, email for the manuscript.\u00a0<\/li>\n
  47. Sonia Ramotowska,\u00a0 Leendert van Maanen, Jakub Szymanik. Does ease of learning explain quantifier universals?, email for the manuscript.<\/li>\n<\/ol>\n\n\n

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    Jakub Szymanik and Camilo Thorne. Semantic complexity influences quantifier distribution in corpora, Language Sciences, 2017. Shane Steinert-Threlkeld. Uniform Definability in Assertability Semantics.\u00a0 Proceedings of the 21st Amsterdam Colloquium, 2017. Natalia Talmina, Arnold Kochari, and Jakub Szymanik. Quantifiers and verification strategies: connecting the dots. Proceedings of the 21st Amsterdam Colloquium, 2017. Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella … <\/p>\n

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