Grouping Words Using Statistical Context

dc.creatorHuckle, Christopher C.
dc.date1995-02-24
dc.date.accessioned2026-07-07T09:09:43Z
dc.date.available2026-07-07T09:09:43Z
dc.descriptionThis paper (cmp-lg/yymmnnn) has been accepted for publication in the student session of EACL-95. It outlines ongoing work using statistical and unsupervised neural network methods for clustering words in untagged corpora. Such approaches are of interest when attempting to understand the development of human intuitive categorization of language as well as for trying to improve computational methods in natural language understanding. Some preliminary results using a simple statistical approach are described, along with work using an unsupervised neural network to distinguish between the sense classes into which words fall.
dc.descriptionThis file should be converted using uudecode followed by uncompress. It is in PostScript format, and 3 pages in length
dc.identifierhttps://arxiv.org/abs/cmp-lg/9502034
dc.identifierhttp://arxiv.org/abs/cmp-lg/9502034
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151134
dc.subjectComputation and Language
dc.titleGrouping Words Using Statistical Context
dc.typetext

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