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<?xml version="1.0" standalone="yes"?>
<Paper uid="C00-1082">
  <Title>Bunsetsu Identification Using Category-Exclusive Rules</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This pal&gt;or describes two new bunsetsu identificatkm methods using supervised learning. Sin(:e ,Jat)anese syntactic analysis ix usnally done after bunsetsu identification, lmnsetsu identiiieation is iml)orl;ant for analyzing Japanese sentences. In experiments comparing the four previously available machine-learning methods (decision tree, maximmn-entropy method, example-based apI)roaeh and deeiskm list,) an(l two new methods llSing categot'y-exclusive rules~ the new method using l;he category-exclusive rules with the highest similarity t)erformetl best.</Paragraph>
  </Section>
class="xml-element"></Paper>
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