N-Gram Cluster Identification During Empirical Knowledge Representation Generation
cmp-lg
2008-02-03 v1 计算与语言
摘要
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.
引用
@article{arxiv.cmp-lg/9412002,
title = {N-Gram Cluster Identification During Empirical Knowledge Representation Generation},
author = {Robin Collier},
journal= {arXiv preprint arXiv:cmp-lg/9412002},
year = {2008}
}