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<Paper uid="P06-1005">
  <Title>Bootstrapping Path-Based Pronoun Resolution</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present an approach to pronoun resolution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a candidate noun based on the path in the parse tree between the two entities. This path information enables us to handle previously challenging resolution instances, and also robustly addresses traditional syntactic coreference constraints.</Paragraph>
    <Paragraph position="1"> Highly coreferent paths also allow mining of precise probabilistic gender/number information. We combine statistical knowledge with well known features in a Support Vector Machine pronoun resolution classi er. Signi cant gains in performance are observed on several datasets.</Paragraph>
  </Section>
class="xml-element"></Paper>