English

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.

Keywords

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)