Cooperative responses from a portable natural language data base query system.
Cooperative responses from a portable natural language data base query system.
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Problem localization strategies for pragmatics processing in natural-language front ends
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A rule-based approach to ill-formed input
COLING '80 Proceedings of the 8th conference on Computational linguistics
Linguistic analysis of natural language communication with computers
COLING '80 Proceedings of the 8th conference on Computational linguistics
Reasoning on a highlighted user model to respond to misconceptions
Computational Linguistics - Special issue on user modeling
Semantics modeling issues for processing natural language database queries
CSC '90 Proceedings of the 1990 ACM annual conference on Cooperation
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
A metaplan model for problem-solving discourse
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Problem localization strategies for pragmatics processing in natural-language front ends
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A three-level model for plan exploration
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
The role of perspective in responding to property misconceptions
HLT '86 Proceedings of the workshop on Strategic computing natural language
The role of perspective in responding to property misconceptions
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
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An utterance may be syntactically and semantically well-formed yet violate the pragmatic rules of the world model. This paper presents a context-based strategy for constructing a cooperative but limited response to pragmatically ill-formed queries. Suggestion heuristics use a context model of the speaker's task inferred from the preceding dialogue to propose revisions to the speaker's ill-formed query. Selection heuristics then evaluate these suggestions based upon semantic and relevance criteria.