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<Paper uid="W97-0108">
  <Title>J Domain-Specific Semantic Class Disambiguation Using WordNet</Title>
  <Section position="5" start_page="1023" end_page="1023" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have presented a portable, wide-coverage approach to domain-specific semantic d~ disambiguation which performs comparably with human judges. Our approach harnesses WordNet eHectively to outperform supervised methods which rely on annots~ed corpora. Unlike existing methods which require h~d-cra.fting of lexicon or ~-ual annotation, the only human etfort involved in our approach is the mapping of the domain-specific semantic classes onto WordNeer. Through the use of general word sense disaznbiguation algorithms and semantic distance metrics, our approach correlates the performance of semantic class disambiguation with the improvemen~ in these actively researched fields.</Paragraph>
  </Section>
class="xml-element"></Paper>