Using Word Embeddings and Collocations for Modelling Word Associations

Micha de Rijk, David Mareček


  1. Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. Enriching Word Vectors with Subword Information Transactions of the Association for Computational Linguistics 5, pages 135–146, 2017. (
  2. Vlaada Chvátil. Codenames, 2015.
  3. Ondřej Bojar, Ondřej Dušek, Tom Kocmi, Jindřich Libovický, Michal Novák, Martin Popel, Roman Sudarikov, and Dušan Variš. CzEng 1.6: Enlarged Czech-English Parallel Corpus with Processing Tools Dockered In Text, Speech, and Dialogue: 19th International Conference, TSD 2016, pages 231–238, Springer International Publishing, Cham / Heidelberg / New York / Dordrecht / London, 2016. (
  4. Simon De Deyne, Danielle Navarro, Amy Perfors, Marc Brysbaert, and Gert Storms. The “Small World of Words” English word association norms for over 12,000 cue words Behavior Research Methods 51, pages , 2018. (
  5. Harrison G. Gough. Studying creativity by means of word association tests Journal of Applied Psychology 61, pages 348-353, 1976. (
  6. Carl G Jung. The association method The American journal of psychology 21, pages 219–269, JSTOR, 1910. (
  7. Omer Levy and Yoav Goldberg. Dependency-based word embeddings In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 302–308, 2014. (
  8. Yang Liu, Zhiyuan Liu, Tat-Seng Chua, and Maosong Sun. Topical word embeddings In Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.
  9. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. Distributed representations of words and phrases and their compositionality In Advances in neural information processing systems, pages 3111–3119, 2013.
  10. V. V. Morkovkin. Ideographic Dictionaries, 1970.
  11. Douglas L. Nelson, Cathy L. McEvoy, and Thomas A. Schreiber. The University of South Florida free association, rhyme, and word fragment norms Behavior Research Methods, Instruments, \& Computers 36, pages 402–407, Springer, 2004. (
  12. Petr Obrtlík. Computer as an intelligent partner in the word-association game codenames, pages 1–51, Brno, 2018.
  13. Pavel Pecina. Lexical association measures and collocation extraction Language resources and evaluation 44, pages 137–158, Springer, 2010. (
  14. Radim \v Reh\r u\v rek and Petr Sojka. Software Framework for Topic Modelling with Large Corpora In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45–50, ELRA, Valletta, Malta, 2010.
  15. Avijit Thawani, Biplav Srivastava, and Anil Singh. SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings In Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP, pages 43–51, Association for Computational Linguistics, Minneapolis, USA, 2019. (
  16. . WordNet: an electronic lexical database, MIT Press, 1998. (