Responding to semantically ill-formed input

Authors:
Ralph Grishman;Ping Peng
Affiliations:
New York University, New York, NY;New York University, New York, NY
Venue:
ANLC '88 Proceedings of the second conference on Applied natural language processing
Year:
1988

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Abstract

One cause of failure in natural language interfaces is semantic overshoot; this is reflected in input sentences which do not correspond to any semantic pattern in the system. We describe a system which provides helpful feedback in such cases by identifying the "semantically closest" inputs which the system would be able to understand.