Building a robust dialogue system with limited data

Sharon J. Goldwater, Elizabeth Owen Bratt, Jean Mark Gawron, John Dowding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We describe robustness techniques used in the CommandTalk system at the recognition level, the parsing level, and the dialogue level, and how these were influenced by the lack of domain data. We used interviews with subject matter experts (SME's) to develop a single grammar for recognition, understanding, and generation, this eliminating the need for a robust parser. We broadened the coverage of the recognition grammar by allowing word insertions and deletions, and we implemented clarification and correction subdialogues to increase robustness at the dialogue level. We discuss the applicability of these techniques to other domains.
Original languageEnglish
Title of host publicationProceedings of the ANLP-NAACL 2000 Workshop on Conversational Systems
Place of PublicationStroudsburg, PA, USA
PublisherAssociation for Computational Linguistics
Pages61-65
Number of pages5
Publication statusPublished - 2000

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