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<Paper uid="H92-1023">
  <Title>Decision Tree Models Applied to the Labeling of Text with Parts-of-Speech</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
ABSTRACT
</SectionTitle>
    <Paragraph position="0"> We describe work which uses decision trees to estimate marginal probabilities in a maximum entropy model for predicting the part-of-speech of a word given the context in which it appears. Two experiments are presented which exhibit improvements over the usual hidden Markov model approach. null</Paragraph>
  </Section>
class="xml-element"></Paper>