Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Knowledge-based parsing.
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
Towards a self-extending parser
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
Ungrammaticality and extra-grammaticality in natural language understanding systems
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
Using semantics to correct parser output for ATIS utterances
HLT '91 Proceedings of the workshop on Speech and Natural Language
Automatic construction of explanation networks for a cooperative user interface
CHI '81 Proceedings of the Joint Conference on Easier and More Productive Use of Computer Systems. (Part - II): Human Interface and the User Interface - Volume 1981
Computational Linguistics
Discourse pragmatics and ellipsis resolution in task-oriented natural language interfaces
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Parsing spoken language: a semantic caseframe approach
COLING '86 Proceedings of the 11th coference on Computational linguistics
Another stride towards knowledge-based machine translation
COLING '86 Proceedings of the 11th coference on Computational linguistics
A linguistic theory of robustness
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Robust man-machine interfaces and dialog modelling: Carnegie-Mellon University
ACM SIGART Bulletin
Uniform help facilities for a cooperative user interface
AFIPS '82 Proceedings of the June 7-10, 1982, national computer conference
Multi-strategy construction-specific parsing for flexible data base query and update
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
The XCALIBUR project: a natural language interface to expert systems
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Free-text search over complex web forms
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
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Robust natural language interpretation requires strong semantic domain models, "fail-soft" recovery heuristics, and very flexible control structures. Although single-strategy parsers have met with a measure of success, a multi-strategy approach is shown to provide a much higher degree of flexibility, redundancy, and ability to bring task-specific domain knowledge (in addition to general linguistic knowledge) to bear on both grammatical and ungrammatical input. A parsing algorithm is presented that integrates several different parsing strategies, with case-frame instantiation dominating. Each of these parsing strategies exploits different types of knowledge; and their combination provides a strong framework in which to process conjunctions, fragmentary input, and ungrammatical structures, as well as less exotic, grammatically correct input. Several specific heuristics for handling ungrammatical input are presented within this multi-strategy framework.