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ACL
1996

A Robust System for Natural Spoken Dialogue

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A Robust System for Natural Spoken Dialogue
This paper describes a system that leads us to believe in the feasibility of constructing natural spoken dialogue systems in task-oriented domains. It specifically addresses the issue of robust interpretation of speech in the presence of recognition errors. Robustness is achieved by a combination of statistical error post-correction, syntactically- and semantically-driven robust parsing, and extensive use of the dialogue context. We present an evaluation of the system using time-to-completion and the quality of the final solution that suggests that most native speakers of English can use the system successfully with virtually no training.
James F. Allen, Bradford W. Miller, Eric K. Ringge
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1996
Where ACL
Authors James F. Allen, Bradford W. Miller, Eric K. Ringger, Teresa Sikorski
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