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A study of semantic projection from single word terms to multi-word terms in the environment domain

Proceedings of the 6th International Workshop on Computational Terminology

DOI:10.63317/2269f2q3qgdq

Abstract

The semantic projection method is often used in terminology structuring to infer semantic relations between terms. Semantic projection relies upon the assumption of semantic compositionality: the relation that links simple term pairs remains valid in pairs of complex terms built from these simple terms. This paper proposes to investigate whether this assumption commonly adopted in natural language processing is actually valid. First, we describe the process of constructing a list of semantically linked multi-word terms (MWTs) related to the environmental field through the extraction of semantic variants. Second, we present our analysis of the results from the semantic projection. We find that contexts play an essential role in defining the relations between MWTs.

Details

Paper ID
lrec2020-ws-computerm-07
Pages
pp. 50-54
BibKey
wang-etal-2020-study
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the 6th International Workshop on Computational Terminology
Location
undefined, undefined
Date
11 May 2020 16 May 2020

Authors

  • YW

    Yizhe Wang

  • BD

    Beatrice Daille

  • NH

    Nabil Hathout

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