Determining Compositionality of Word Expressions Using Word Space Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194655" target="_blank" >RIV/00216208:11320/13:10194655 - 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 Word Space Models
Original language description
This research focuses on determining semantic compositionality of word expressions using word space models (WSMs). We discuss previous works employing WSMs and present differences in the proposed approaches which include types of WSMs, corpora, preprocessing techniques, methods for determining compositionality, and evaluation testbeds. We also present results of our own approach for determining the semantic compositionality based on comparing distributional vectors of expressions and their components. The vectors were obtained by Latent Semantic Analysis (LSA) applied to the ukWaC corpus. Our results outperform those of all the participants in the Distributional Semantics and Compositionality (DISCO) 2011 shared task.
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
The 9th Workshop on Multiword Expressions (MWE 2013)
ISBN
978-1-937284-47-3
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
42-52
Publisher name
Association for Computational Linguistics
Place of publication
Atlanta, Georgia, USA
Event location
Atlanta, Georgia, USA
Event date
Jun 13, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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