Determining Compositionality of Word Expressions Using Various Word Space Models and Measures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194654" target="_blank" >RIV/00216208:11320/13:10194654 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Determining Compositionality of Word Expressions Using Various Word Space Models and Measures
Original language description
This paper presents a comparative study of 5 different types of Word Space Models (WSMs) combined with 4 different compositionality measures applied to the task of automatically determining semantic compositionality of word expressions. Many combinationsof WSMs and measures have never been applied to the task before. The study follows Biemann and Giesbrecht (2011) who attempted to find a list of expressions for which the compositionality assumption - the meaning of an expression is determined by the meaning of its constituents and their combination does not hold. Our results are very promising and can be appreciated by those interested in WSMs, compositionali
Czech name
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Czech description
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Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
ISBN
978-1-937284-67-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
64-73
Publisher name
The Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Sofia, Bulgaria
Event date
Aug 9, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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