Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Understanding spontaneous speech
HLT '89 Proceedings of the workshop on Speech and Natural Language
A template matcher for robust NL interpretation
HLT '91 Proceedings of the workshop on Speech and Natural Language
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
The Philips automatic train timetable information system
Speech Communication - Special issue on interactive voice technology for telecommunication applications
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Robust grammatical analysis for spoken dialogue systems
Natural Language Engineering
Three heads are better than one
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Charting the depths of robust speech parsing
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
The Spoken Language Translator
The Spoken Language Translator
A STEP towards realizing Codd's vision of rendezvous with the casual user
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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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.