Robust parsing and spoken negotiative dialogue with databases

This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utterances in spoken negotiative dialogue with databases. The algorithm works in two passes: a domain-specific pattern-matching phase and a domain-independent semantic analysis phase. Robustness is achiev...

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Bibliographic Details
Published inNatural language engineering Vol. 14; no. 3; pp. 289 - 312
Main Authors BOYE, JOHAN, WIRÉN, MATS
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.07.2008
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ISSN1351-3249
1469-8110
1469-8110
DOI10.1017/S1351324906004402

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Summary:This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utterances in spoken negotiative dialogue with databases. The algorithm works in two passes: a domain-specific pattern-matching phase and a domain-independent semantic analysis phase. Robustness is achieved by limiting the set of representable utterance types to an empirically motivated subclass which is more expressive than propositional slot–value lists, but much less expressive than first-order logic. Our evaluation shows that in actual practice the vast majority of utterances that occur can be handled, and that the parsing algorithm is highly efficient and accurate.
Bibliography:ArticleID:00440
PII:S1351324906004402
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SourceType-Scholarly Journals-1
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ISSN:1351-3249
1469-8110
1469-8110
DOI:10.1017/S1351324906004402