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<Paper uid="W04-0845">
  <Title>Semantic Role Labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper describes the HKPolyU-HKUST systems which were entered into the Semantic Role Labeling task in Senseval-3. Results show that these systems, which are based upon common machine learning algorithms, all manage to achieve good performances on the non-restricted Semantic Role Labeling task.</Paragraph>
  </Section>
class="xml-element"></Paper>