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<Paper uid="W02-0217">
  <Title>Probabilistic Dialogue Modelling</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We show how Bayesian networks and related probabilistic methods provide an efficient way of capturing the complex balancing of different factors that determine interpretation and generation in dialogue.</Paragraph>
    <Paragraph position="1"> As a case study, we show how a probabilistic approach can be used to model anaphora resolution in dialogue1.</Paragraph>
  </Section>
class="xml-element"></Paper>