Extraction of Hyponymic Relations in French with Knowledge-Pattern-Based Word Sketches

Antonio San Martín, Catherine Trekker, Pilar León-Araúz

Abstract
Hyponymy is the cornerstone of taxonomies and concept hierarchies. However, the extraction of hypernym-hyponym pairs from a corpus can be time-consuming, and reconstructing the hierarchical network of a domain is often an extremely complex process. This paper presents the development and evaluation of the French EcoLexicon Semantic Sketch Grammar (ESSG-fr), a French hyponymic sketch grammar for Sketch Engine based on knowledge patterns. It offers a user-friendly way of extracting hyponymic pairs in the form of word sketches in any user-owned corpus. The ESSG-fr contains three times more hyponymic patterns than its English counterpart and has been tested in a multidisciplinary corpus. It is thus expected to be domain-independent. Moreover, the following methodological innovations have been included in its development: (1) use of English hyponymic patterns in a parallel corpus to find new French patterns; (2) automatic inclusion of the results of the Sketch Engine thesaurus to find new variants of the patterns. As for its evaluation, the ESSG-fr returns 70% valid hyperonyms and hyponyms, measured on 180 extracted pairs of terms in three different domains.
Anthology ID:
2020.lrec-1.729
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5953–5961
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.729
DOI:
Bibkey:
Cite (ACL):
Antonio San Martín, Catherine Trekker, and Pilar León-Araúz. 2020. Extraction of Hyponymic Relations in French with Knowledge-Pattern-Based Word Sketches. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5953–5961, Marseille, France. European Language Resources Association.
Cite (Informal):
Extraction of Hyponymic Relations in French with Knowledge-Pattern-Based Word Sketches (San Martín et al., LREC 2020)
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https://preview.aclanthology.org/nschneid-patch-4/2020.lrec-1.729.pdf
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