N-Gram Cluster Identification During Empirical Knowledge Representation Generation

Computer Science – Computation and Language

Scientific paper

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Scientific paper

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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