Reference resolution in PUNDIT
Logic and logic grammars for language processing
Augmented role filling capabilities for semantic interpretation of spoken language
HLT '91 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
The ATIS spoken language systems pilot corpus
HLT '90 Proceedings of the workshop on Speech and Natural Language
Management and evaluation of interactive dialog in the air travel domain
HLT '90 Proceedings of the workshop on Speech and Natural Language
PUNIT - Natural Language Interfaces
LPSS '92 Proceedings of the Second International Logic Programming Summer School on Logic Programming in Action
Computational Linguistics
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Information retrieval using robust natural language processing
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Sentence fragments regular structures
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Recent improvements and benchmark results for the Paramax ATIS system
HLT '91 Proceedings of the workshop on Speech and Natural Language
A relaxation method for understanding spontaneous speech utterances
HLT '91 Proceedings of the workshop on Speech and Natural Language
Fragment processing in the DELPHI system
HLT '91 Proceedings of the workshop on Speech and Natural Language
Surface-marker-based dialog modelling: A progress report on the MAREDI project
Natural Language Engineering
NL assistant: a toolkit for developing natural language applications
ANLC '97 Proceedings of the fifth conference on Applied natural language processing: Descriptions of system demonstrations and videos
Benchmark tests for the DARPA Spoken Language Program
HLT '93 Proceedings of the workshop on Human Language Technology
The Semantic Linker: a new fragment combining method
HLT '93 Proceedings of the workshop on Human Language Technology
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This paper describes an approach to robust processing which is domain-independent in its design, yet which can easily take advantage of domain-specific information. Robust processing is well-integrated into standard processing in this approach, requiring essentially only a single new BNF rule in the grammar. We describe the results of implementing this approach in two different domains.