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<Paper uid="P99-1081">
  <Title>An Unsupervised Model for Statistically Determining Coordinate Phrase Attachment</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper examines the use of an unsupervised statistical model for determining the attachment of ambiguous coordinate phrases (CP) of the form nl p n2 cc n3. The model presented here is based on JAR98\], an unsupervised model for determining prepositional phrase attachment. After training on unannotated 1988 Wall Street Journal text, the model performs at 72% accuracy on a development set from sections 14 through 19 of the WSJ TreeBank \[MSM93\].</Paragraph>
  </Section>
class="xml-element"></Paper>