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Dr. J.K. (Jakub) Szymanik

Faculteit der Geesteswetenschappen
Capaciteitsgroep Taalwetenschap
Bezoekadres
  • Spuistraat 134
Postadres
  • Postbus 1642
    1000 BP Amsterdam
Contactgegevens
  • Research

    About

    I am a tenured sssociate professor in the Institute for Logic, Language and Computation. I am affiliated with the Department of Linguistics and the Research Priority Area Brain & Cognition. I am also a principal investigator in Cognitive Semantics and Quantities project funded by the European Research Council and Language in Interaction project funded by NWO. I am leading Logic, Language, and Cognition Research Group. Please visit my personal website for more information.

    Logic, Language, and Cognition Research Group

    Broadly speaking the research group is interested in logic, linguistics, cognitive science, complexity theory, philosophy, and any combination of these. We specialize in natural language semantics, esp. generalized quantifiers and reasoning. We aim to integrate formal models with cognitive insights in order to obtain theories which are both explanatory and psychologically plausible. We pay special attention to how various formal measures of complexity can help us to understand difficulty of core cognitive abilities, like language comprehension or reasoning. Our approach is characterized by mixture of formal (logic, computational modeling, simulations) and empirical (neurobehavioral experiments, corpus linguistics) methods.

    Lab Meetings

    If you are interested in our most current project and would like to join lab meetings please visit my personal website.

  • Publicaties

    2021

    2020

    • 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
    • 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 [details]
    • Schlotterbeck, F., Ramotowska, S., van Maanen, L., & Szymanik, J. (2020). Representational complexity and pragmatics cause the monotonicity effect. In S. Denison, M. Mack, Y. Xu, & B. C. Armstrong (Eds.), Proceedings for the 42nd Annual Meeting of the Cognitive Science Society: 29 July-1 August 2020 : Developing a Mind: Learning in Humans, Animals, and Machines (Vol. 5, pp. 3397-3403). Cognitive Science Society. https://cogsci.mindmodeling.org/2020/papers/0825/index.html [details]
    • Steinert-Threlkeld, S., & Szymanik, J. (2020). Ease of learning explains semantic universals. Cognition, 195, [104076]. https://doi.org/10.1016/j.cognition.2019.104076 [details]

    2019

    • Carcassi, F., Steinert-Threlkeld, S., & Szymanik, J. (2019). The emergence of monotone quantifiers via iterated learning. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Creativity + cognition + computation: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) : Montreal, Canada, 24-27 July 2019 (Vol. 1, pp. 190-196). Cognitive Science Society. https://cogsci.mindmodeling.org/2019/papers/0054/index.html [details]
    • Steinert-Threlkeld, S., & Szymanik, J. (2019). Learnability and Semantic Universals. Semantics and Pragmatics, 12, [4]. https://doi.org/10.3765/sp.12.4 [details]
    • 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 [details]
    • Szymanik, J., & Verbrugge, R. (2019). Tractability and the computational mind. In M. Sprevak, & M. Colombo (Eds.), The Routledge Handbook of the Computational Mind (pp. 339-354). (Routledge Handbooks in Philosophy). Routledge. https://doi.org/10.4324/9781315643670-26 [details]
    • 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 [details]
    • van de Pol, I., Steinert-Threlkeld, S., & Szymanik, J. (2019). Complexity and learnability in the explanation of semantic universals of quantifiers. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Creativity + cognition + computation: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) : Montreal, Canada, 24-27 July 2019 (Vol. 5, pp. 3015-3021). Cognitive Science Society. https://cogsci.mindmodeling.org/2019/papers/0507/index.html [details]

    2018

    • Pezzelle, S., Steinert Threlkeld, S., Bernardi, R., & Szymanik, J. (2018). Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. In I. Gurevych, & Y. Miyao (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (Vol. 2, pp. 114-119). Stroudsburg, PA: The Association for Computational Linguistics. https://doi.org/10.18653/v1/P18-2019 [details]
    • Sippel, J., & Szymanik, J. (2018). Monotonicity and the Complexity of Reasoning with Quantifiers. In T. T. Rogers, M. Rau, X. Zhu, & C. W. Kalish (Eds.), COGSCI 2018: Changing/Minds : 40th Annual Cognitive Science Society Meeting : Madison, Wisconsin, USA, July 25-28 (Vol. 2, pp. 1074-1079). Cognitive Science Society. https://cogsci.mindmodeling.org/2018/papers/0213/index.html [details]
    • Zhao, B., van de Pol, I., Raijmakers, M., & Szymanik, J. (2018). Predicting Cognitive Difficulty of the Deductive Mastermind Game with Dynamic Epistemic Logic Models. In T. T. Rogers, M. Rau, X. Zhu, & C. W. Kalish (Eds.), COGSCI 2018: Changing/Minds : 40th Annual Cognitive Science Society Meeting : Madison, Wisconsin, USA, July 25-28 (Vol. 5, pp. 2789-2794). Cognitive Science Society. https://cogsci.mindmodeling.org/2018/papers/0527/index.html [details]
    • van de Pol, I., van Rooij, I., & Szymanik, J. (2018). Parameterized complexity of theory of mind reasoning in dynamic epistemic logic. Journal of Logic, Language and Information, 27(3), 255-294. https://doi.org/10.1007/s10849-018-9268-4 [details]

    2017

    • Szymanik, J., & Thorne, C. (2017). Exploring the relation between semantic complexity and quantifier distribution in large corpora. Language Sciences, 60, 80–93. https://doi.org/10.1016/j.langsci.2017.01.006 [details]
    • Talmina, N., Kochari, A., & Szymanik, J. (2017). Quantifiers and verification strategies: connecting the dots. In A. Cremers, T. van Gessel, & F. Roelofsen (Eds.), Proceedings of the 21st Amsterdam Colloquium (pp. 465-473). Amsterdam: ILLC. [details]

    2016

    2015

    • Munneke, G-J., & Szymanik, J. (2015). A non-monotonic extension of Universal Moral Grammar Theory. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), COGSCI 2015 : 37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society : Pasadena, California, 23-25 July 2015 (Vol. 3, pp. 1667-1672). Cognitive Science Society. https://cogsci.mindmodeling.org/2015/papers/0290/index.html [details]
    • Steinert-Threlkeld, S., Munneke, G-J., & Szymanik, J. (2015). Alternative representations in formal semantics: A case study of quantifiers. In T. Brochhagen, F. Roelofsen, & N. Theiler (Eds.), Proceedings of the 20th Amsterdam Colloquium (pp. 368-377). Institute for Logic, Language and Computation, University of Amsterdam. https://semanticsarchive.net/Archive/mVkOTk2N/AC2015-proceedings.pdf [details]
    • Thorne, C., & Szymanik, J. (2015). Semantic complexity of quantifiers and their distribution in corpora. In M. Purver, M. Sadrzadeh, & M. Stone (Eds.), IWCS 2015 : Proceedings of the 11th International Conference on Computational Semantics: 15-17 April, 2015, Queen Mary University of London, London, UK (pp. 64-69). Stroudsburg, PA: The Association for Computational Linguistics. [details]
    • Zhai, F., Szymanik, J., & Titov, I. (2015). Toward probabilistic natural logic for syllogistic reasoning. In T. Brochhagen, F. Roelofsen, & N. Theiler (Eds.), Proceedings of the 20th Amsterdam Colloquium (pp. 468-477). Institute for Logic, Language and Computation, University of Amsterdam. https://semanticsarchive.net/Archive/mVkOTk2N/AC2015-proceedings.pdf [details]
    • de Haan, R., & Szymanik, J. (2015). A dichotomy result for Ramsey quantifiers. In V. de Paiva, R. de Queiroz, L. S. Moss, D. Leivant, & A. G. de Oliveira (Eds.), Logic, Language, Information, and Computation: 22nd International Workshop, WoLLIC 2015, Bloomington, IN, USA, July 20-23, 2015 : proceedings (pp. 69-80). (Lecture Notes in Computer Science; Vol. 9160), (FoLLI Publications on Logic, Language and Information). Heidelberg: Springer. https://doi.org/10.1007/978-3-662-47709-0_6 [details]

    2014

    • Bergwerff, G., Meijering, B., Szymanik, J., Verbrugge, R., & Wierda, S. (2014). Computational and algorithmic models of strategies in turn-based games. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), CogSci 2014: cognitive science meets artificial intelligence: human and artifical agents in interactive contexts: 36th Annual Cognitive Science Conference: Quebec City, Canada, Jul 23-Jul 26 (Vol. 3, pp. 1778-1783). Cognitive Science Society. https://mindmodeling.org/cogsci2014/papers/309/ [details]
    • Dotlačil, J., Szymanik, J., & Zajenkowski, M. (2014). Probabilistic semantic automata in the verification of quantified statements. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), CogSci 2014: cognitive science meets artificial intelligence: human and artifical agents in interactive contexts: 36th Annual Cognitive Science Conference: Quebec City, Canada, Jul 23-Jul 26 (Vol. 4, pp. 2967-2972). Cognitive Science Society. https://mindmodeling.org/cogsci2014/papers/512/ [details]
    • Dégremont, C., Kurzen, L., & Szymanik, J. (2014). Exploring the tractability border in epistemic tasks. Synthese, 191(3), 371-408. https://doi.org/10.1007/s11229-012-0215-7 [details]
    • Isaac, A. M. C., Szymanik, J., & Verbrugge, R. (2014). Logic and complexity in cognitive science. In A. Baltag, & S. Smets (Eds.), Johan van Benthem on Logic and Information Dynamics (pp. 787-824). (Outstanding contributions to logic; Vol. 5). Cham: Springer. https://doi.org/10.1007/978-3-319-06025-5_30 [details]
    • Kontinen, J., & Szymanik, J. (2014). A characterization of definability of second-order generalized quantifiers with applications to non-definability. Journal of Computer and System Sciences, 80(6), 1152-1162. https://doi.org/10.1016/j.jcss.2014.04.007 [details]
    • Robaldo, L., Szymanik, J., & Meijering, B. (2014). On the Identification of Quantifiers’ Witness Sets: A Study of Multi-quantifier Sentences. Journal of Logic, Language and Information, 23(1), 53-81. https://doi.org/10.1007/s10849-014-9197-9 [details]
    • Zajenkowski, M., Szymanik, J., & Garraffa, M. (2014). Working Memory Mechanism in Proportional Quantifier Verification. Journal of Psycholinguistic Research, 43(6), 839-853. https://doi.org/10.1007/s10936-013-9281-3 [details]

    2013

    • Szymanik, J. (2013). Backward Induction is PTIME-complete. In D. Grossi, O. Roy, & H. Huang (Eds.), Logic, Rationality, and Interaction: 4th International Workshop, LORI 2013, Hangzhou, China, October 9-12, 2013 : proceedings (pp. 352-356). (Lecture Notes in Computer Science; Vol. 8196), (FoLLI Publications on Logic, Language and Information). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-40948-6_32 [details]
    • Szymanik, J., & Verbrugge, R. (2013). Logic and Cognition: Special Issue of Best Papers of the ESSLLI 2012 Workshop. Journal of Logic, Language and Information, 22(4), 357-362. https://doi.org/10.1007/s10849-013-9186-4 [details]
    • Szymanik, J., & Zajenkowski, M. (2013). Monotonicity has only a relative effect on the complexity of quantifier verification. In M. Aloni, M. Franke, & F. Roelofsen (Eds.), Proceedings of the 19th Amsterdam Colloquium (pp. 219-225). ILLC, University of Amsterdam. http://www.illc.uva.nl/AC/AC2013/uploaded_files/inlineitem/28_Szymanik_Zajenkowski.pdf [details]
    • Szymanik, J., Meijering, B., & Verbrugge, R. (2013). Using intrinsic complexity of turn-taking games to predict participants' reaction times. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative Minds: Social Interaction and Group Dynamics: Proceedings of the 35th Annual Meeting of the Cognitive Science Society : Berlin, Germany, July 31-August 3, 2013 (pp. 1426-1431). Cognitive Science Society. https://cogsci.mindmodeling.org/2013/papers/0269/index.html [details]
    • Szymanik, J., Steinert-Threlkeld, S., Zajenkowski, M., & Icard, T. F. (2013). Automata and Complexity in Multiple-Quantifier Sentence Verification. In R. L. West, & T. C. Stewart (Eds.), Proceedings of ICCM 2013: 12th International Conference on Cognitive Modeling (pp. 239-244). Ottawa: Carleton University. [details]
    • Zajenkowski, M., & Szymanik, J. (2013). MOST intelligent people are accurate and SOME fast people are intelligent: Intelligence, working memory, and semantic processing of quantifiers from a computational perspective. Intelligence, 41(5), 456-466. https://doi.org/10.1016/j.intell.2013.06.020 [details]

    2012

    • Mostowski, M., & Szymanik, J. (2012). Semantic bounds for everyday language. Semiotica, 188, 323-332. https://doi.org/10.1515/sem-2012-0022 [details]
    • Robaldo, L., & Szymanik, J. (2012). Pragmatic Identification of the Witness Sets. In N. Calzolari, K. Choukri, T. Declerck, M. Uğur Doğan, B. Maegaard, J. Mariani, J. Odijk, ... S. Piperidis (Eds.), Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12): 23-25 May, 2012, Istanbul, Turkey (pp. 81-87). Paris: European Language Resources Association (ELRA). [details]

    2011

    • Bott, O., Schlotterbeck, F., & Szymanik, J. (2011). Interpreting tractable versus intractable reciprocal sentences. In J. Bos, & S. Pulman (Eds.), Proceedings of the Ninth International Conference on Computational Semantics: IWCS 2011 : January 12-14, 2011, Oxford, UK (pp. 75-84). Association for Computational Linguistics. https://aclanthology.org/W11-0109 [details]
    • Dégremont, C., Kurzen, L., & Szymanik, J. (2011). On the tractability of comparing informational structures. In J. van Eijk, & R. Verbrugge (Eds.), RAOM-2011 : Reasoning About Other Minds: Logical and Cognitive Perspectives: Proceedings of the Workshop on Reasoning About Other Minds: Logical and Cognitive Perspectives : Groningen, The Netherlands, July 11th, 2011 (pp. 50-64). (CEUR Workshop Proceedings; Vol. 751). CEUR-WS. http://ceur-ws.org/Vol-751/reasoningminds2011_submission_11.pdf [details]
    • Gierasimczuk, N., & Szymanik, J. (2011). A note on a generalization of the Muddy Children Puzzle. In K. R. Apt (Ed.), TARK XIII: Theoretical Aspects of Rationality and Knowledge : proceedings of the Thirteenth Conference (TARK 2011) (pp. 257-264). New York, NY: ACM. https://doi.org/10.1145/2000378.2000409 [details]
    • Gierasimczuk, N., & Szymanik, J. (2011). Invariance properties of quantifiers and multiagent information exchange. In M. Kanazawa, A. Kornai, M. Kracht, & H. Seki (Eds.), The Mathematics of Language: 12th Biennial Conference, MOL 12, Nara, Japan, September 6-8, 2011 : proceedings (pp. 72-89). (Lecture Notes in Computer Science; Vol. 6878), (Lecture Notes in Artificial Intelligence), (FoLLI Publications on Logic, Language and Information). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-23211-4_5 [details]
    • Kontinen, J., & Szymanik, J. (2011). Characterizing definability of second-order generalized quantifiers. In L. D. Beklemishev, & R. de Queiroz (Eds.), Logic, Language, Information and Computation: 18th International Workshop, WoLLIC 2011, Philadelphia, PA, USA, May 18-20, 2011 : proceedings (pp. 187-200). (Lecture Notes in Computer Science ; Vol. 6642), (Lecture Notes in Artificial Intelligence ), (FoLLI Publications on Logic, Language and Information). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-20920-8_20 [details]
    • Szymanik, J. K., & Zajenkowski, M. (2011). Contribution of working memory in the parity and proportional judgments. Belgian Journal of Linguistics, 25, 176-194. https://doi.org/10.1075/bjl.25.08szy [details]
    • Zajenkowski, M., Styla, R., & Szymanik, J. (2011). A computational approach to quantifiers as an explanation for some language impairments in schizophrenia. Journal of Communication Disorder, 44(6), 595-600. https://doi.org/10.1016/j.jcomdis.2011.07.005 [details]
    • van Rooij, I., Kwisthout, J., Blokpoel, M., Szymanik, J., Wareham, T., & Toni, I. (2011). Intentional communication: computationally easy or difficult? Frontiers in Human Neuroscience, 5, [52]. https://doi.org/10.3389/fnhum.2011.00052 [details]

    2010

    • Isaac, A., & Szymanik, J. (2010). Logic and cognitive science: bridging the gap between symbolic and connectionist paradigms. Journal of Indian Council of Philosophical Research, 27(2), 279-309. [details]
    • Szymanik, J. (2010). Almost all complex quantifiers are simple. In C. Ebert, G. Jäger, & J. Michaelis (Eds.), The Mathematics of Language: 10th and 11th Biennial Conference MOL 10, Los Angeles, CA, USA, July 28-30, 2007 and MOL 11, Bielefeld, Germany, August 20-21, 2009 : revised selected papers (pp. 272-280). (Lecture Notes in Computer Science; Vol. 6149), (Lecture Notes in Artificial Intelligence), (FoLLI Publications on Logic, Language and Information). Berlin: Springer. https://doi.org/10.1007/978-3-642-14322-9_21 [details]
    • Szymanik, J. (2010). Computational complexity of polyadic lifts of generalized quantifiers in natural language. Linguistics and Philosophy, 33(3), 215-250. https://doi.org/10.1007/s10988-010-9076-z [details]
    • Szymanik, J., & Zajenkowski, M. (2010). Comprehension of simple quantifiers: empirical evaluation of a computational model. Cognitive Science, 34(3), 521-532. https://doi.org/10.1111/j.1551-6709.2009.01078.x [details]
    • Szymanik, J., & Zajenkowski, M. (2010). Quantifiers and working memory. In M. Aloni, H. Bastiaanse, T. de Jager, & K. Schulz (Eds.), Logic, Language and Meaning: 17th Amsterdam Colloquium, Amsterdam, The Netherlands, December 16-18, 2009 : revised selected papers (pp. 456-464). (Lecture Notes in Computer Science; Vol. 6042), (Lecture Notes in Artificial Intelligence), (FoLLI Publications on Logic, Language and Information). Berlin: Springer. https://doi.org/10.1007/978-3-642-14287-1_46 [details]

    2009

    • Gierasimczuk, N., & Szymanik, J. (2009). Branching quantification v. two-way quantification. Journal of Semantics, 26(4), 367-392. https://doi.org/10.1093/jos/ffp008 [details]
    • Szymanik, J. (2009). The computational complexity of quantified reciprocals. In P. Bosch, D. Gabelaia, & J. Lang (Eds.), Logic, Language, and Computation: 7th International Tbilisi Symposium on Logic, Language, and Computation, TbiLLC 2007, Tbilisi, Georgia, October 1-5, 2007 : revised selected papers (pp. 139-152). (Lecture Notes in Computer Science; Vol. 5422), (Lecture Notes in Artificial Intelligence), (FoLLI Publications on Logic, Language and Information). Berlin: Springer. https://doi.org/10.1007/978-3-642-00665-4_12 [details]
    • Szymanik, J., & Zajenkowski, M. (2009). Improving methodology of quantifier comprehension experiments. Neuropsychologia, 47(12), 2682-2683. https://doi.org/10.1016/j.neuropsychologia.2009.04.004 [details]
    • Szymanik, J., & Zajenkowski, M. (2009). Quantifiers and working memory. In Seventeenth Amsterdam Colloquium, December 16-18, 2009: pre-proceedings (pp. 435-444). Amsterdam: ILLC, University of Amsterdam. [details]
    • Szymanik, J., & Zajenkowski, M. (2009). Understanding quantifiers in language. In N. A. Taatgen, & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1109-1114). Cognitive Science Society. http://csjarchive.cogsci.rpi.edu/Proceedings/2009/papers/260/index.html [details]

    2008

    2007

    • Szymanik, J. (2007). A Note on some Neuroimaging Study of Natural Language Quantifiers Comprehension. Neuropsychologia, 45(9), 2158-2160. https://doi.org/10.1016/j.neuropsychologia.2007.01.016 [details]
    • Szymanik, J. (2007). Computational semantics for monadic quantifiers in natural language. Studia Semiotyczne, 26, 219-244. [details]
    • Szymanik, J. (2007). Strong Meaning Hypothesis from a Computational Perspective. In P. D. F. Roelofsen M. Aloni (Ed.), Proceedings of the Sixteenth Amsterdam Colloquium (pp. 211-216). Amsterdam. [details]
    • Szymanik, J., & Gierasimczuk, N. (2007). Hintikka's Thesis revisited. The Bulletin of Symbolic Logic, 13, 273-273. [details]
    • Szymanik, J., & Mostowski, M. (2007). Computational complexity of some Ramsey quantifiers in finite models. The Bulletin of Symbolic Logic, 13, 281-282. [details]

    2015

    • Ghosh, S., & Szymanik, J. (Eds.) (2015). The facts matter: Essays on logic and cognition in honour of Rineke Verbrugge. (Tributes; No. 25). [London]: College Publications. [details]

    2014

    • Szymanik, J., & Verbrugge, R. (Eds.) (2014). RAOM 2014 : Reasoning About Other Minds: Logical and Cognitive Perspectives: proceedings of the Second Workshop Reasoning About Other Minds: Logical and Cognitive Perspectives, co-located with Advances in Modal Logic 2014 ; Groningen, The Netherlands, August 4, 2014. (CEUR Workshop Proceedings; Vol. 1208). CEUR-WS. http://ceur-ws.org/Vol-1208/ [details]

    2013

    • Szymanik, J. (2013). Communication and cooperation. In J. van Benthem, & F. Liu (Eds.), Logic Across the University: Foundations and Applications: proceedings of the Tsinghua Logic Conference, Beijing, 2013 (pp. 372-375). (Studies in Logic; Vol. 47). College Publications. [details]

    2020

    • Schlotterbeck, F. S., Ramotowska, S., van Maanen, L., & Szymanik, J. K. (2020). Is the Monotonicity Effect due to Covert Negation or Pragmatic Bias?. Abstract from Second Tsinghua Interdisciplinary Workshop on Logic, Language, and Meaning: Monotonicity in Logic and Language, .
    • Schlotterbeck, F. S., Ramotowska, S., van Maanen, L., & Szymanik, J. K. (2020). Is the monotonicity effect due to covert negation or pragmatic bias?. Abstract from 33rd Annual CUNY Human Sentence Processing Conference, . https://osf.io/gkv2t/

    2019

    • Ramotowska, S., Steinert Threlkeld, S. N. M., van Maanen, L., & Szymanik, J. K. (2019). Individual differences in semantic representations affect quantifier processing. Paper presented at RALNatLang19: REASONING, ARGUMENTATION AND LOGIC IN NATURAL LANGUAGE: EXPERIMENTS AND MODELS, Bochum, Germany.
    • Ramotowska, S., Steinert Threlkeld, S. N. M., van Maanen, L., & Szymanik, J. K. (2019). Most, but not more than half, is proportion-dependent and sensitive to individual differences. Abstract from TbiLLC 2019: Thirteenth International Tbilisi Symposium on Language, Logic and Computation, Georgia.
    • Ramotowska, S., van Maanen, L., Szymanik, J. K., & Steinert Threlkeld, S. N. M. (2019). Most, but not more than half, is proportion-dependent and sensitive to individual differences. Poster session presented at Sinn und Bedeutung 24, Osnabrück, Germany.

    2013

    • Szymanik, J. K., & Thorne, C. (2013). Quantifier Distribution and Semantic Complexity. Paper presented at Tenth International Tbilisi Symposium on Language, Logic and Computation, .

    2009

    • Szymanik, J. (2009). Almost all complex quantifiers are simple. Paper presented at 11th Meeting on the Mathematics of Language (MOL 11), Bielefeld, Germany, . [details]

    Lidmaatschap

    • Szymanik, J. (2017). Semantics and Linguistic Theory 27, 2017 .
    • Szymanik, J. (2017). Experimental Pragmatics 7, 2017.
    • Szymanik, J. (2017). Quantifiers and Determiners workshop at ESSLLI 2017.
    • Szymanik, J. (2017). Sinn und Bedeutung 22, 2017.
    • Szymanik, J. (2017-2022). Principal Investigator, Dutch Gravitation consortium Language in Interaction.
    • Szymanik, J. (2016). Conference on Logical Aspects of Computational Linguistics, 2016.
    • Szymanik, J. (2016). 11th International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI, 2016.
    • Szymanik, J. (2016). 15th European Conference on Logics in Artificial Intelligence.
    • Szymanik, J. (2016). Poznań Reasoning Week 2016.
    • Szymanik, J. (2016). Semantics and Linguistic Theory 26, 2016.
    • Szymanik, J. (2016). PhDs in Logic, 2016.

    Spreker

    • Szymanik, J. (speaker) (2017). Bridging natural logic and probabilities to model human reasoning, CADILLAC Workshop.

    2020

    • Kochari, A. (2020). Perceiving and communicating magnitudes: Behavioral and electrophysiological studies. Amsterdam: Institute for Logic, Language and Computation. [details]

    2009

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