Using compression to identify acronyms in text
Digital Libraries
2007-05-23 v1 Information Retrieval
Abstract
Text mining is about looking for patterns in natural language text, and may be defined as the process of analyzing text to extract information from it for particular purposes. In previous work, we claimed that compression is a key technology for text mining, and backed this up with a study that showed how particular kinds of lexical tokens---names, dates, locations, etc.---can be identified and located in running text, using compression models to provide the leverage necessary to distinguish different token types (Witten et al., 1999)
Cite
@article{arxiv.cs/0007003,
title = {Using compression to identify acronyms in text},
author = {Stuart Yeates and David Bainbridge and Ian H. Witten},
journal= {arXiv preprint arXiv:cs/0007003},
year = {2007}
}
Comments
10 pages. A short form published in DCC2000