Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

Recent Results in Automatic Learning Rules for Semantic Interpretation

Roland Kuhn (1), Renato De Mori (2)

(1) Centre de Recherche Informatique de Montreal, Montreal, Canada
(2) School of Computer Science, McGill University, Montreal, Canada

This article describes a new method for building a natural language understanding (NLU) system, in which the system's rules are learnt automatically from training data. The method has been applied to design of a speech understanding (SU) system. Designers of such systems rely increasingly on robust matchers to perform the task of extracting meaning from one or several word sequence hypotheses generated by a speech recognizer; a robust matcher processes semantically important islands of words and constituents rather than attempting to parse the entire word sequence.

Full Paper

Bibliographic reference.  Kuhn, Roland / Mori, Renato De (1994): "Recent results in automatic learning rules for semantic interpretation", In ICSLP-1994, 75-78.