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Determining Compositio nality of Word Expressions Using Various Word Space Models and Measueres

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919203" target="_blank" >RIV/49777513:23520/13:43919203 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determining Compositio nality of Word Expressions Using Various Word Space Models and Measueres

  • 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 xpressions. 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, compositionality, and/or relevant evaluation methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the workshop on continuous vector space models and their compositionality

  • ISBN

    978-1-937284-67-1

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    64-73

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg

  • Event location

    Sofia

  • Event date

    Aug 9, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article