Automatic Detection of Text Genre

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dc.creatorKessler, Brett
dc.creatorNunberg, Geoffrey
dc.creatorSchuetze, Hinrich
dc.date1997-07-08
dc.date.accessioned2026-07-07T09:10:53Z
dc.date.available2026-07-07T09:10:53Z
dc.descriptionAs the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on surface cues is as successful as detection based on deeper structural properties.
dc.description7 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9707002
dc.identifierhttp://arxiv.org/abs/cmp-lg/9707002
dc.identifierProceedings ACL/EACL 1997, Madrid, p. 32-38
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151490
dc.subjectComputation and Language
dc.titleAutomatic Detection of Text Genre
dc.typetext

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