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Predicate-Argument Analysis to Build a Phraseology Module and to Increase Conceptual Relation Expressiveness

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Computational and Corpus-Based Phraseology (EUROPHRAS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10596))

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Abstract

EcoLexicon, a multilingual and multimodal terminological knowledge base (TKB) on the environment, needs improvements: more expressive non-hierarchical relations and a phraseology module consistent with knowledge representation in the other modules of the TKB. Both issues must be addressed by analyzing predicate-argument structure in text. In this paper, we explain our methodology for predicate-argument analysis with the case study on the conceptual relation affects. We take a semi-automatic approach to extract term-verb-term collocates with Sketch Engine [1]. Then the verbs are classified according to the lexical domains proposed by Faber & Mairal [2] and the arguments in conceptual categories based on the knowledge contained in EcoLexicon. To validate the lexical domains and conceptual categories, an automatic clustering method based on word2vec [3] is applied. The analysis of verbs and arguments contributes to the refinement of our semantic relations and categories as well as to the population of the phraseological module.

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Notes

  1. 1.

    ecolexicon.ugr.es.

  2. 2.

    https://radimrehurek.com/gensim/models/word2vec.html.

  3. 3.

    http://www.nltk.org/.

  4. 4.

    http://termostat.ling.umontreal.ca/.

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Acknowledgments

This research was carried out as part of project FF2014-52740-P, Cognitive and Neurological Bases for Terminology-enhanced Translation (CONTENT), funded by the Spanish Ministry of Economy and Competitiveness.

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Authors and Affiliations

  1. Department of Translation and Interpreting, University of Granada, Granada, Spain

    Arianne Reimerink & Pilar León-Araúz

Authors
  1. Arianne Reimerink
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  2. Pilar León-Araúz
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Correspondence to Arianne Reimerink .

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Editors and Affiliations

  1. University of Wolverhampton, Wolverhampton, United Kingdom

    Ruslan Mitkov

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Reimerink, A., León-Araúz, P. (2017). Predicate-Argument Analysis to Build a Phraseology Module and to Increase Conceptual Relation Expressiveness. In: Mitkov, R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2017. Lecture Notes in Computer Science(), vol 10596. Springer, Cham. https://doi.org/10.1007/978-3-319-69805-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-69805-2_13

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