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<Paper uid="W04-0845">
  <Title>Semantic Role Labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper presented the HKPolyU-HKUST systems for the non-restricted Semantic Role Labeling task for Senseval-3. We mapped the task to that of a simple classification task, and used features and systems which were easily extracted and constructed. Our systems achieved good performance on the SRL task, easily beating the baseline.</Paragraph>
  </Section>
class="xml-element"></Paper>