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        <title>Contextual term equivalent search using domain-driven disambiguation</title>
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    <name type="personal">
        <namePart type="given">Caroline</namePart>
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        <namePart type="given">Pierre</namePart>
        <namePart type="given">André</namePart>
        <namePart type="family">Ménard</namePart>
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            <title>Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)</title>
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            <namePart type="given">Patrick</namePart>
            <namePart type="family">Drouin</namePart>
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        <name type="personal">
            <namePart type="given">Natalia</namePart>
            <namePart type="family">Grabar</namePart>
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            <namePart type="family">Kageura</namePart>
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        <name type="personal">
            <namePart type="given">Koichi</namePart>
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    <abstract>This article presents a domain-driven algorithm for the task of term sense disambiguation (TSD). TSD aims at automatically choosing which term record from a term bank best represents the meaning of a term occurring in a particular context. In a translation environment, finding the contextually appropriate term record is necessary to access the proper equivalent to be used in the target language text. The term bank TERMIUM Plus, recently published as an open access repository, is chosen as a domain-rich resource for testing our TSD algorithm, using English and French as source and target languages. We devise an experiment using over 1300 English terms found in scientific articles, and show that our domain-driven TSD algorithm is able to bring the best term record, and therefore the best French equivalent, at the average rank of 1.69 compared to a baseline random rank of 3.51.</abstract>
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%0 Conference Proceedings
%T Contextual term equivalent search using domain-driven disambiguation
%A Barrière, Caroline
%A Ménard, Pierre André
%A Azoulay, Daphnée
%Y Drouin, Patrick
%Y Grabar, Natalia
%Y Hamon, Thierry
%Y Kageura, Kyo
%Y Takeuchi, Koichi
%S Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F barriere-etal-2016-contextual
%X This article presents a domain-driven algorithm for the task of term sense disambiguation (TSD). TSD aims at automatically choosing which term record from a term bank best represents the meaning of a term occurring in a particular context. In a translation environment, finding the contextually appropriate term record is necessary to access the proper equivalent to be used in the target language text. The term bank TERMIUM Plus, recently published as an open access repository, is chosen as a domain-rich resource for testing our TSD algorithm, using English and French as source and target languages. We devise an experiment using over 1300 English terms found in scientific articles, and show that our domain-driven TSD algorithm is able to bring the best term record, and therefore the best French equivalent, at the average rank of 1.69 compared to a baseline random rank of 3.51.
%U https://aclanthology.org/W16-4704
%P 21-29

Markdown (Informal)

[Contextual term equivalent search using domain-driven disambiguation](https://aclanthology.org/W16-4704) (Barrière et al., CompuTerm 2016)

• Contextual term equivalent search using domain-driven disambiguation (Barrière et al., CompuTerm 2016)

ACL

• Caroline Barrière, Pierre André Ménard, and Daphnée Azoulay. 2016. Contextual term equivalent search using domain-driven disambiguation. In Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016), pages 21–29, Osaka, Japan. The COLING 2016 Organizing Committee.