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<Paper uid="C00-1059">
  <Title>Corpus-dependent Association Thesauri for Information Retrieval</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents a method for automatically generating an association thesaurus from a text corpus, and demonstrates its application to information retrieval. The thesaurus generation method .consists of extracting tenns and co-occurrence data from a corpus and analyzing the correlation between terms statistically. A new method for disambiguating the structure of compound nouns, which is a key component for term extraction, is also proposed. The automatically generated thesaurus is effectively used as a tool for exploring infonnation. A thesaurus navigator having novel functions such as term clustering, thesaurus overview, and zooming-in is proposed.</Paragraph>
  </Section>
class="xml-element"></Paper>