Original title: Umělá inteligence pro Krycí jména: hru založenou na slovních asociacích
Translated title: Codenames: a practical application for modelling word association
Authors: de Rijk, Micha Theo Neri ; Mareček, David (advisor) ; Popel, Martin (referee)
Document type: Master’s theses
Year: 2020
Language: eng
Abstract: Micha de Rijk January 6, 2020 Word association is an important part of human language. Many techniques for capturing semantic relations between words exist, but their ability to model word associations is rarely tested. We introduce the game of Codenames with one human player as a word association task to evaluate how well a language model captures this information. We establish the baseline f-score of 0.362 and explore the performance of several collocations and word embedding models on this task. Our best model uses fastText word embeddings and achieves an f-score of 0.789 for Czech and 0.751 for English. 1
Keywords: codenames; computational word association; pointwise mutual information; word embeddings; hra; jazyk; slovní asociace; umělá inteligence

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/116657

Permalink: http://www.nusl.cz/ntk/nusl-410674


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Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses