An English language question answering system for a large relational database
Communications of the ACM
Transition network grammars for natural language analysis
Communications of the ACM
The ROBOT System: Natural language processing applied to data base query
ACM '78 Proceedings of the 1978 annual conference
Programming in natural language: “NLC” as a prototype
ACM '79 Proceedings of the 1979 annual conference
Toward natural language computation
Computational Linguistics
Transportable natural-language interfaces to databases
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Shifting to a higher gear in a natural language system
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Transportable English-language processing for office environments
AFIPS '84 Proceedings of the July 9-12, 1984, national computer conference and exposition
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We are developing an English-language processing system called LDC with emphasis upon (a) small- or medium-sized office domains, as opposed to large relationalstyle databases; (b) mechanisms to learn about new domains and the English to be used in discussing them; and (c) capabilities for deep semantic processing, for example where English inputs can be phrased naturally, not merely as a notational variant for complete, formal queries. LDC consists of two major components and an external retrieval module. The first component, which we call "Prep," obtains information about a new domain and the language to be used in discussing it. The second, "user-phase," component of LDC resembles an ordinary NL processor, but (a) most decisions are determined from the preprocessed information appearing in the data files produced by Prep, and (b) the emphasis is upon the semantics of "layered" domains, described herein. In this paper we (1) present the motivation behind LDC; (2) summarize and give examples of the behavior of Prep; (3) provide an overview of the user-phase component; and (4) give examples of current and projected capabilities of the system.