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<Paper uid="P04-3015">
  <Title>Hierarchy Extraction based on Inclusion of Appearance</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper, we propose a method of automatically extracting word hierarchies based on the inclusion relation of appearance patterns from corpora. We apply a complementary similarity measure to find a hierarchical word structure. This similarity measure was developed for the recognition of degraded machine-printed text in the field and can be applied to estimate one-to-many relations. Our purpose is to extract word hierarchies from corpora automatically. As the initial task, we attempt to extract hierarchies of abstract nouns co-occurring with adjectives in Japanese and compare with hierarchies in the EDR electronic dictionary.</Paragraph>
  </Section>
class="xml-element"></Paper>