N-Gram Cluster Identification During Empirical Knowledge Representation Generation
<|reference_start|>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.<|reference_end|>
@article{collier1994n-gram,
    title={N-Gram Cluster Identification During Empirical Knowledge Representation
  Generation},
    author={Robin Collier (Department of Computer Science, University of
  Sheffield, England)},
    journal={arXiv preprint arXiv:cmp-lg/9412002},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9412002},
    primaryClass={cmp-lg cs.CL}
}