Third International Conference on Spoken Language Processing (ICSLP 94)
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.
Bibliographic reference. Kuhn, Roland / Mori, Renato De (1994): "Recent results in automatic learning rules for semantic interpretation", In ICSLP-1994, 75-78.