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A unification-based, integrated natural language processing system

dc.contributor.authorLytinen, Steven L.en_US
dc.date.accessioned2006-04-10T15:19:19Z
dc.date.available2006-04-10T15:19:19Z
dc.date.issued1992en_US
dc.identifier.citationLytinen, Steven L. (1992)."A unification-based, integrated natural language processing system." Computers &amp; Mathematics with Applications 23(6-9): 403-418. <http://hdl.handle.net/2027.42/30193>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TYJ-46NX0WK-177/2/bf5fa5b09fbf1adc7d3a33b72f1d28e5en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30193
dc.description.abstractThis paper presents a natural language processing (NLP) system called LINK. LINK is unification-based, and incorporates and extends many features which have been emerging from other NLP research in recent years. In particular, the notions of autonomous syntax and compositional semantics long staples of NLP systems, have been replaced by a grammar which is much more complex, semantics-oriented, and more reliant on idiomatic constructions; and a semantics which is noncompositional. Processing, also, has been changed from the traditional syntax-driven approach, to an approach which relies much more heavily on semantics and domain knowledge, presented in a semantic net. As a result, LINK is able to efficiently process ungrammatical sentences, as well as nonliteral constructions such as methphor and metonymy. These tasks have been difficult for more traditional NLP systems.en_US
dc.format.extent1076613 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA unification-based, integrated natural language processing systemen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumArtificial Intelligence Laboratory, The University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30193/1/0000579.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0898-1221(92)90115-Xen_US
dc.identifier.sourceComputers &amp; Mathematics with Applicationsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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