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<Paper uid="P98-2185">
  <Title>An Interactive Domain Independent Approach to Robust Dialogue Interpretation</Title>
  <Section position="7" start_page="1134" end_page="1134" type="concl">
    <SectionTitle>
5 Conclusions and Current
Directions
</SectionTitle>
    <Paragraph position="0"> This paper presents a domain independent, interactive approach to robust interpretation. Where other interactive approaches to robust interpretation have depended upon domain dependent repair rules, the approach described here operates efficiently without any such hand-coded repair knowledge. An empirical evaluation demonstrates that limited amounts of focused interaction allow this repair approach to achieve a 37% reduction in error rate over a corpus of noisy sentences. A further evaluation demonstrates that. this domain independent approach combines easily with available domain knowledge in order to improve the quality of the interaction. Introducing discourse information yields a preferable query in 74% of the cases where discourse information applies. Interaction in the current ROSE approach is limited to confirming hypotheses about how the fragments of the partial parse can be combined and requesting rephrases. It would be interesting to generate and test hypotheses about information missing from the partial parse, perhaps using information predicted by the discourse context.</Paragraph>
  </Section>
class="xml-element"></Paper>