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dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorAllan, Jamesen_US
dc.contributor.authorBuckley, Chrisen_US
dc.date.accessioned2007-04-23T16:28:04Z
dc.date.available2007-04-23T16:28:04Z
dc.date.issued1993-03en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR93-1334en_US
dc.identifier.urihttps://hdl.handle.net/1813/6100
dc.description.abstractLarge collections of full-text documents are now commonly used in automated information retrieval. When the stored document texts are long, the retrieval of complete documents may not be in the users' best interest. In such circumstances, efficient and effective retrieval results may be obtained by using passage retrieval strategies designed to retrieve text excerpts of varying size in response to statements of user interest. New approaches are described in this study for implementing selective passage retrieval systems, and identifying text passages responsive to particular user needs. An automated encyclopedia search system is used to evaluate the usefulness of the proposed methods.en_US
dc.format.extent1491882 bytes
dc.format.extent139890 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.titleApproaches to Passage Retrieval in Full Text Information Systemsen_US
dc.typetechnical reporten_US


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