N-Gram Cluster Identification During Empirical Knowledge Representation Generation

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dc.creatorCollier, Robin
dc.date1994-12-05
dc.date.accessioned2026-07-07T09:09:41Z
dc.date.available2026-07-07T09:09:41Z
dc.descriptionThis paper presents an overview of current research concerning knowledge extraction from technical texts. In particular, the use of empirical techniques during the identification and generation of a semantic representation is considered. A key step is the discovery of useful n-grams and correlations between clusters of these n-grams.
dc.identifierhttps://arxiv.org/abs/cmp-lg/9412002
dc.identifierhttp://arxiv.org/abs/cmp-lg/9412002
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151121
dc.subjectComputation and Language
dc.titleN-Gram Cluster Identification During Empirical Knowledge Representation Generation
dc.typetext

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