N-Gram Cluster Identification During Empirical Knowledge Representation   Generation
  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. 
Robin Collier (Department of Computer Science, University of   Sheffield, England)