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<?xml version="1.0" standalone="yes"?>
<Paper uid="E06-2028">
  <Title>Bayesian Network, a model for NLP?</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome these handicaps with the Bayesian Network (BN) formalism. The first results are very encouraging compared with the state-of-the-art systems. null</Paragraph>
  </Section>
class="xml-element"></Paper>
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