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<Paper uid="P93-1041">
  <Title>TEXT SEGMENTATION BASED ON SIMILARITY BETWEEN WORDS</Title>
  <Section position="6" start_page="287" end_page="287" type="concl">
    <SectionTitle>
CONCLUSION
</SectionTitle>
    <Paragraph position="0"> This paper proposed LCP, an indicator of segment changing, which concentrates on lexical cohesion of a text segment. The experiment proved that LCP closely correlate with the segment boundaries captured by the human judgments, and that lexical cohesion plays main role in forming a sequence of words into segments.</Paragraph>
    <Paragraph position="1"> Text segmentation described here provides basic information for text understanding: * Resolving anaphora and ellipsis: Segment boundaries provide valuable restriction for determination of the referents.</Paragraph>
    <Paragraph position="2"> * Analyzing text structure: Segment boundaries can be considered as segment switching (push and pop) in hierarchical structure of text.</Paragraph>
    <Paragraph position="3"> The segmentation can be applied also to text summarizing. (Consider a list of average meaning of segments.) In future research, the author needs to examine validity of LCP for other genres -- Hearst (1993) segments expository texts. Incorporating other clues (e.g. cue phrases, tense and aspect, etc.) is also needed to make this segmentation method more robust.</Paragraph>
  </Section>
class="xml-element"></Paper>