Towards a Cognitively Plausible Compositional Model for Natural Language Quantification
Project funded by the OPUS 18 Grant from the National Science Centre, Poland
Project Members
Justyna Grudzińska (formal semantics of natural language)
Marek Zawadowski (category theory, logic)
Aleksandra Siemieniuk (psycholinguistics)
Aleksander Leczkowski (NLP)
Project Collaborators
Aleksander Wawer (NLP)
Grzegorz Wojdyga (NLP)
Manuel Vargas Guzmán (NLP)
Karolina Krawczyk
Mateusz Wolski
Project Outputs
Marek Zawadowski and Justyna Grudzińska (2024). Polyadic Quantifiers on Dependent Types. In: Metcalfe, G., Studer, T., de Queiroz, R. (eds) Logic, Language, Information, and Computation. WoLLIC 2024. Lecture Notes in Computer Science, vol 14672. Springer, Cham, 278–291.
Justyna Grudzińska, Aleksandra Siemieniuk and Aleksander Leczkowski (2023) Lexicon and Logic: A Corpus-Based Investigation Into a Connection Between Prepositional Senses and Quantifier Scope. Journal of Semantics, Volume 40, Issue 4, November 2023, 621–655.
Aleksander Leczkowski, Justyna Grudzińska, Manuel Vargas Guzmán, Aleksander Wawer and Aleksandra Siemieniuk (2022) Prepositions Matter in Quantifier Scope Disambiguation. Proc of the 29th International Conference on Computational Linguistics COLING 2022 (long paper), pp. 3960-3970.
Graduate Student Positions (Master's or PhD Opportunities): We invite applications for two graduate student positions to participate in the project, one with a specialization in Psycholinguistics and one in NLP and Machine Learning. Preference will be given to candidates with demonstrated skills and experience in experimental work.
Praca w pojekcie: Oferujemy dwa stypendia naukowe dla magistranta/ki lub doktoranta/ki, jedno dla osoby ze specjalizacją z zakresu psycholingwistyki, a drugie z zakresu NLP. Preferowane będą osoby z doświadczeniem w pracy eksperymentalnej.
Szczegółowe informacje o konkursie