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A Robust System for Natural Spoken Dialogue

James F. Allen·Bradford W. Miller·Eric K. Ringger·Teresa Sikorski
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Abstract

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.

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James F. Allen, Bradford W. Miller, Eric K. Ringger, Teresa Sikorski. 1996-06-18. A Robust System for Natural Spoken Dialogue. https://arxiv.org/abs/cmp-lg/9606023

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