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<Paper uid="P06-1058">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation</Title>
  <Section position="7" start_page="462" end_page="462" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> As discussed above, the supervised WSD method shows a low performance because of its dependency on the size of the training data. This reveals its weakness in knowledge acquisition bottleneck.</Paragraph>
    <Paragraph position="1"> EP-based unsupervised method has overcame this weakness. It requires no manually tagged corpus to achieve a satisfactory performance on WSD. Experimental results show that EP-based method is a promising solution to the large-scale WSD task. In future work, we will examine the effectiveness of EP-based method in other WSD techniques.</Paragraph>
  </Section>
class="xml-element"></Paper>