Constructing verb semantic classes for French: methods and evaluation

Authors:
Patrick Saint-Dizier
Affiliations:
IRIT-CNRS, Toulouse, France
Venue:
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Year:
1996

Citing 2
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Knowledge extraction from texts: a method for extracting predicate-argument structures from texts

COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2

Large-Scale Dictionary Construction for ForeignLanguage Tutoring and Interlingual Machine Translation

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Abstract

In this paper, we study a reformulation, which is better adapted to NLP, of the alternation system developed for English by B. Levin. We have studied a set of 1700 verbs from which we explain how verb semantic classes can be built in a systematic way. The quality of the results w.r.t. semantic classifications such as WordNet is then evaluated.