Text Segmentation Based on Similarity between Words
cmp-lg
2008-02-03 v1 Computation and Language
Abstract
This paper proposes a new indicator of text structure, called the lexical cohesion profile (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a semantic network. Comparison with the text segments marked by a number of subjects shows that LCP closely correlates with the human judgments. LCP may provide valuable information for resolving anaphora and ellipsis.
Cite
@article{arxiv.cmp-lg/9601005,
title = {Text Segmentation Based on Similarity between Words},
author = {Hideki Kozima},
journal= {arXiv preprint arXiv:cmp-lg/9601005},
year = {2008}
}
Comments
3 pages, uufiles (paper.tex, acl.sty, bezier.sty)