N-Gram Cluster Identification During Empirical Knowledge Representation Generation

Robin Collier

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arXiv · cmp-lg/9412002

N-Gram Cluster Identification During Empirical Knowledge Representation Generation

Robin Collier

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Abstract

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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Robin Collier. 1994-12-05. N-Gram Cluster Identification During Empirical Knowledge Representation Generation. https://arxiv.org/abs/cmp-lg/9412002

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