Using Word Embeddings and Collocations for Modelling Word Associations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424338" target="_blank" >RIV/00216208:11320/20:10424338 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Sri52R248M" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Sri52R248M</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14712/00326585.002" target="_blank" >10.14712/00326585.002</a>

Result language
angličtina
Original language name
Using Word Embeddings and Collocations for Modelling Word Associations
Original language description
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 in a real application. In this paper, we evaluate three models aimed at different types of word associations: a word-embedding model for synonymy, a point-wise mutual information model for word collocations, and a dependency model for common properties of words. The quality of the proposed models is tested on English and Czech by humans in an online version of the word-association game "Codenames".
Czech name
—
Czech description
—

Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GA18-02196S" target="_blank" >GA18-02196S: Linguistic Structure Representation in Neural Networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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