Text Segmentation Based on Similarity between Words

Hideki Kozima

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arXiv · cmp-lg/9601005

Text Segmentation Based on Similarity between Words

Hideki Kozima

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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.

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Hideki Kozima. 1996-01-23. Text Segmentation Based on Similarity between Words. https://arxiv.org/abs/cmp-lg/9601005

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