Summary of the paper

Title Mapping the Lexique des Verbes du français (Lexicon of French Verbs) to a NLP Lexicon using Examples
Authors Bruno Guillaume, Karën Fort, Guy Perrier and 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.
Topics Parsing, Semantics
Full paper Mapping the Lexique des Verbes du français (Lexicon of French Verbs) to a NLP Lexicon using Examples
Bibtex @InProceedings{GUILLAUME14.602,
  author = {Bruno Guillaume and Karën Fort and Guy Perrier and Paul Bédaride},
  title = {Mapping the Lexique des Verbes du français (Lexicon of French Verbs) to a NLP Lexicon using Examples},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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