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<Paper uid="W06-1315">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics Empirical Verification of Adjacency Pairs Using Dialogue Segmentation</Title>
  <Section position="2" start_page="0" end_page="2" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> A problem in dialogue research is that of finding and managing expectations.</Paragraph>
    <Paragraph position="1"> Adjacency pair theory has widespread acceptance, but traditional classification features (in particular, 'previous-tag' type features) do not exploit this information optimally. We suggest a method of dialogue segmentation that verifies adjacency pairs and allows us to use dialogue-level information within the entire segment and not just the previous utterance. We also use the kh  test for statistical significance as 'noise reduction' to refine a list of pairs. Together, these methods can be used to extend expectation beyond the traditional classification features.</Paragraph>
  </Section>
class="xml-element"></Paper>