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<Paper uid="W99-0634">
  <Title>Corpus-Based Learning for Noun Phrase Coreference Resolution</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper, we present a learning approach for coreference resolution of noun phrases in unrestricted text. The approach learns from a small, annotated corpus and the task includes resolving not just pronouns but rather general noun phrases. In contrast to previous work, we attempt to evaluate our approach on a common data set, the MUC-6 coreference corpus. We obtained encouraging results, indicating that on the general noun phrase coreference task, the learning approach holds promise and achieves accuracy comparable to non-learning approaches.</Paragraph>
  </Section>
class="xml-element"></Paper>