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Automatic Structuring of Text Files

dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorBuckley, Chrisen_US
dc.contributor.authorAllan, Jamesen_US
dc.date.accessioned2007-04-23T17:55:47Z
dc.date.available2007-04-23T17:55:47Z
dc.date.issued1991-10en_US
dc.description.abstractIn many practical information retrieval situations, it is necessary to process heterogeneous text databases that vary greatly in scope and coverage, and deal with many different subjects. In such an environment it is important to provide flexible access to individual text pieces, and to structure the collection so that related text elements are identified and appropriately linked. Methods are described in this study for the automatic structuring of heterogeneous text collections, and the construction of browsing tools and access procedures that facilitate collection use. The proposed methods are illustrated by performing searches with a large automated encyclopedia.en_US
dc.format.extent1887734 bytes
dc.format.extent448381 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR91-1241en_US
dc.identifier.urihttps://hdl.handle.net/1813/7081
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleAutomatic Structuring of Text Filesen_US
dc.typetechnical reporten_US

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