A Robust System for Natural Spoken Dialogue
<|reference_start|>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.<|reference_end|>
@article{allen1996a,
    title={A Robust System for Natural Spoken Dialogue},
    author={James F. Allen, Bradford W. Miller, Eric K. Ringger, and Teresa
  Sikorski (University of Rochester)},
    journal={Proceedings of the 34th Annual Meeting of the ACL},
    year={1996},
    archivePrefix={arXiv},
    eprint={cmp-lg/9606023},
    primaryClass={cmp-lg cs.CL}
}