Codenames: a practical application for modelling word association
Umělá inteligence pro Krycí jména: hru založenou na slovních asociacích
diploma thesis (DEFENDED)
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Permanent link
http://hdl.handle.net/20.500.11956/116657Identifiers
Study Information System: 207412
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- Kvalifikační práce [11322]
Faculty / Institute
Faculty of Mathematics and Physics
Discipline
Computational Linguistics
Department
Institute of Formal and Applied Linguistics
Date of defense
4. 2. 2020
Publisher
Univerzita Karlova, Matematicko-fyzikální fakultaLanguage
English
Grade
Excellent
Keywords (Czech)
umělá inteligence, jazyk, hra, slovní asociaceKeywords (English)
computational word association, codenames, pointwise mutual information, word embeddingsMicha 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