Exploiting referential context in spoken language interfaces for data-poor domains

Authors:
Stephen Wu;Lane Schwartz;William Schuler
Affiliations:
University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN
Venue:
Proceedings of the 13th international conference on Intelligent user interfaces
Year:
2008

Citing 7
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Abstract

This paper describes an implementation of a shell-like programming interface that utilizes referential context (that is, information about the current state of an interfaced application) in order to achieve accurate recognition -- even in user-defined domains with no available domain-specific training corpora. The interface incorporates a knowledge of context into its model of syntax, yielding a referential semantic language model. Interestingly, the referential semantic language model exploits context dynamically, unlike other recent systems, by using incremental processing and the limited stack memory of an HMM-like time series model.