Determining Compositionality of Word Expressions Using Vord Space Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919563" target="_blank" >RIV/49777513:23520/13:43919563 - 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 Vord 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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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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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

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

9th Workhop on Multivord Expressions MWE 2013

ISBN

978-1-937284-47-3

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

42-50

Publisher name

ACL

Place of publication

Stroudsburg

Event location

Atlanta

Event date

Jun 13, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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