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dc.contributor.authorGrossman, Richard W.
dc.date.accessioned2008-04-10T14:54:08Z
dc.date.available2008-04-10T14:54:08Z
dc.date.issued1975-01
dc.identifier.urihttp://hdl.handle.net/1721.1/41122
dc.descriptionWork reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0003.en
dc.description.abstractThe issue of how to represent the "meaning" of an utterance is central to the problem of computer understanding of natural language. Rather than relying on ad-hoc structures or forcing the complexities of natural language into mathematically elegant but computationally cumbersome representations (such as first-order logic), this paper presents a novel representation which has many desirable computational and logical properties. It is proposed to use this representation to structure the "world knowledge" of a natural-language understanding system.en
dc.description.sponsorshipMIT Artificial Intelligence Laboratoryen
dc.language.isoen_USen
dc.publisherMIT Artificial Intelligence Laboratoryen
dc.relation.ispartofseriesMIT Artificial Intelligence Laboratory Working Papers, WP-87en
dc.titleRepresenting the Semantics of Natural Language as Constraint Expressionsen
dc.typeWorking Paperen


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