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<Paper uid="W05-0624">
  <Title>Sparse Bayesian Classification of Predicate Arguments</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present an application of Sparse Bayesian Learning to the task of semantic role labeling, and we demonstrate that this method produces smaller classifiers than the popular Support Vector approach.</Paragraph>
    <Paragraph position="1"> We describe the classification strategy and the features used by the classifier. In particular, the contribution of six parse tree path features is investigated.</Paragraph>
  </Section>
class="xml-element"></Paper>