Representing Knowledge About Words

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dc.contributor.authorNutter, J. Terryen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:55Zen
dc.date.available2013-06-19T14:36:55Zen
dc.date.issued1989en
dc.description.abstractMost on-line lexicons contain only semantic information. Semantic information is usually stored elsewhere, in a form consistent with representation of the syntactic information. This paper reports on research toward developing a large on-line lexicon from machine-readable dictionaries, which contains both syntactic and semantic information in uniform style. The fundamental theory is that of one of the relational lexicon; we describe relational lexicons, discuss our extensions to the usual theory of relational lexicons, rehearse very quickly some of the relations we are dealing with, and show how information for some simple entries is stored.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000159/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000159/01/TR-89-22.pdfen
dc.identifier.trnumberTR-89-22en
dc.identifier.urihttp://hdl.handle.net/10919/19536en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleRepresenting Knowledge About Wordsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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