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<Paper uid="C00-1014">
  <Title>Reusing an ontology to generate numeral classifiers</Title>
  <Section position="9" start_page="95" end_page="95" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we presented an algorithm to generate Japanese numeral classifiers. It was shown to select the correct sortal classifier 81% of the time. The algorithm uses the ontology provided by Goi-Taikei, a Japanese lexicon, and shows how accurately semantic classes can predict numeral classifiers for the nouns they subsume. We also show how we can improve the accuracy and efficiency ftmher through solving other natural language processing problems, in particular, referent transfer, anaphor resolution and word sense disambiguation.</Paragraph>
  </Section>
class="xml-element"></Paper>