Mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to a NLP lexicon using examples

Bruno Guillaume, Karën Fort, Guy Perrier, Paul Bédaride


Abstract
This article presents experiments aiming at mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to FRILEX, a Natural Language Processing (NLP) lexicon based on D ICOVALENCE. The two resources (Lexicon of French Verbs and D ICOVALENCE) were built by linguists, based on very different theories, which makes a direct mapping nearly impossible. We chose to use the examples provided in one of the resource to find implicit links between the two and make them explicit.
Anthology ID:
L14-1486
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2806–2810
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/602_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Bruno Guillaume, Karën Fort, Guy Perrier, and Paul Bédaride. 2014. Mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to a NLP lexicon using examples. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2806–2810, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to a NLP lexicon using examples (Guillaume et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/602_Paper.pdf