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<Paper uid="W00-0104">
  <Title>Automatic Extraction of Systematic Polysemy Using Tree-cut</Title>
  <Section position="7" start_page="26" end_page="26" type="concl">
    <SectionTitle>
5 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> In this paper, we proposed an automatic method for extracting systematic polysemy from WordNet. As we reported, preliminary results show that our method identified almost all WordNet cousins as well as some new ones.</Paragraph>
    <Paragraph position="1"> One difficulty is that applying the generalization technique using the MDL principle to the bushy WordNet trees seems to yield a tree-cut at rather abstract level.</Paragraph>
    <Paragraph position="2"> For future work, we plan to compare the systematic relations extracted by our automatic method to corpus data. In particular, we like to test whether our method extracts the same groups of senses which human annotators disagreed (Ng et al., 1999). We also like to test whether our method agrees with the finding that multiple senses which occur in a discourse are often systematically polysemous (Krovetz, 1998).</Paragraph>
  </Section>
class="xml-element"></Paper>