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dc.contributor.authorCardie, Claireen_US
dc.contributor.authorMardis, Scotten_US
dc.date.accessioned2007-04-23T18:11:07Z
dc.date.available2007-04-23T18:11:07Z
dc.date.issued1997-11en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR97-1653en_US
dc.identifier.urihttps://hdl.handle.net/1813/7307
dc.description.abstractCurrent research in Information Retrieval and Information Extraction demands high-precision syntactic and semantic information from natural language text. We propose a plan for developing a framework to identify, with high-precision, the linguistic relationships between pairs of words in natural language text. Related research is reviewed and preliminary results are given. In our plan we outline the linguistic identification task: a new way to evaluate NLP systems.en_US
dc.format.extent218472 bytes
dc.format.extent185083 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleProposal for A Framework for the High-Precision Identification ofLinguistic Relationshipsen_US
dc.typetechnical reporten_US


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