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<Paper uid="P98-1021">
  <Title>Spoken Dialogue Interpretation with the DOP Model</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We show how the DOP model can be used for fast and robust processing of spoken input in a practical spoken dialogue system called OVIS. OVIS, Openbaar Vervoer Informatie Systeem (&amp;quot;Public Transport Information System&amp;quot;), is a Dutch spoken language information system which operates over ordinary telephone lines. The prototype system is the immediate goal of the NWO 1 Priority Programme &amp;quot;Language and Speech Technology&amp;quot;. In this paper, we extend the original DOP model to context-sensitive interpretation of spoken input. The system we describe uses the OVIS corpus (10,000 trees enriched with compositional semantics) to compute from an input word-graph the best utterance together with its meaning. Dialogue context is taken into account by dividing up the OVIS corpus into context-dependent subcorpora. Each system question triggers a subcorpus by which the user answer is analyzed and interpreted. Our experiments indicate that the context-sensitive DOP model obtains better accuracy than the original model, allowing for fast and robust processing of spoken input.</Paragraph>
  </Section>
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