Paper: A Robust System For Natural Spoken Dialogue

ACL ID P96-1009
Title A Robust System For Natural Spoken Dialogue
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1996
Authors

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 interpre- tation 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.