N-gram cluster identification during empirical knowledge representation generation

Authors:
Robin Collier
Affiliations:
University of Sheffield, Regent Court, Sheffield, England
Venue:
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Year:
1994

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Abstract

This paper presents an overview of current research concerning knowledge extraction from technical texts. In particular, the use of empirical techniques during the identification and generation of a semantic representation is considered. A key step is the discovery of useful n-grams and correlations between clusters of these n-grams.