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<Paper uid="W97-0807">
  <Title>Integration of Hand-Crafted and Statistical Resources in Measuring Word Similarity</Title>
  <Section position="7" start_page="75" end_page="75" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we proposed a new method for the measurement of word similarity. Our method integrates the statistics-based and thesanrus-based approaches. By this, we can realize the statistical computation of word similarity based on a thesaurus, with optimal computation cost. We showed the effectivity of our method by  way of an experiment, and demonstrated its application to word sense disambiguation. Future work will include how to decrease the number of equations without degrading the performance, and application of our framework to other NLP tasks for the further evaluation.</Paragraph>
  </Section>
class="xml-element"></Paper>