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

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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