ML p(r)ior | N-Gram Cluster Identification During Empirical Knowledge Representation Generation
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N-Gram Cluster Identification During Empirical Knowledge Representation Generation

1994-12-05
9412002 | cmp-lg
This 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.
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