A Maximum-Entropy Partial Parser for Unrestricted Text

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dc.creatorSkut, Wojciech
dc.creatorBrants, Thorsten
dc.date1998-07-17
dc.date.accessioned2026-07-07T02:36:18Z
dc.date.available2026-07-07T02:36:18Z
dc.descriptionThis paper describes a partial parser that assigns syntactic structures to sequences of part-of-speech tags. The program uses the maximum entropy parameter estimation method, which allows a flexible combination of different knowledge sources: the hierarchical structure, parts of speech and phrasal categories. In effect, the parser goes beyond simple bracketing and recognises even fairly complex structures. We give accuracy figures for different applications of the parser.
dc.description9 pages, LaTeX
dc.identifierhttps://arxiv.org/abs/cmp-lg/9807006
dc.identifierhttp://arxiv.org/abs/cmp-lg/9807006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/15870
dc.subjectComputation and Language
dc.titleA Maximum-Entropy Partial Parser for Unrestricted Text
dc.typetext

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