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<Paper uid="W06-1649">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics Partially Supervised Sense Disambiguation by Learning Sense Number from Tagged and Untagged Corpora</Title>
  <Section position="10" start_page="421" end_page="421" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper, we present an order identi cation based partially supervised classi cation algorithm and investigate its application to partially supervised word sense disambiguation problem. Experimental results on SENSEVAL-3 data indicate that our ELP based model order identi cation algorithm achieves better performance than other state of the art classi cation algorithms, e.g., SVM, a one-class partially supervised algorithm (LPU), and a semi-supervised k-means clustering based model order identi cation algorithm.</Paragraph>
  </Section>
class="xml-element"></Paper>