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<Paper uid="W04-0833">
  <Title>Simple Features for Statistical Word Sense Disambiguation</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> In this paper, we present the two systems we built for our rst participation in the English lexical sample task at Senseval-3. In the rst system, a Na ve Bayes learner based on context words as features is implemented. In the second system, an approximate syntactic structure, in addition to semantics of the nouns around the ambiguous word are selected as features to learn with a Maximum Entropy learner.</Paragraph>
    <Paragraph position="1"> In Section 2, a brief overview of related work on WSD is presented. Sections 3 and 4 provide speci cations of our two systems. Section 5 discusses the results obtained and remarks on them, and nally in Section 6, conclusion and our future work direction are given.</Paragraph>
  </Section>
class="xml-element"></Paper>