Text Segmentation Based on Similarity between Words

Details Text Segmentation Based on Similarity between Words Text Segmentation Based on Similarity between Words

1996-01-23

arxiv.org/abs/cmp-lg/9601005v1

Proceedings of ACL-93 (Ohio), pp.286-288, 1993.

Computer Science

Computation and Language

3 pages, uufiles (paper.tex, acl.sty, bezier.sty)

Scientific paper

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.

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