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<Paper uid="P94-1009">
  <Title>A HYBRID REASONING MODEL FOR INDIRECT ANSWERS</Title>
  <Section position="7" start_page="63" end_page="63" type="concl">
    <SectionTitle>
6. CONCLUSION
</SectionTitle>
    <Paragraph position="0"> We have described our implemented computational model for interpreting and generating indirect answers to Yes-No questions. Its main features are 1) a discourse-plan-based approach to implicature, 2) a reversible architecture, 3) a hybrid reasoning model, and 4) use of stimulus conditions for modeling a speaker's motivation for providing appropriate extra information. The model handles a wider range of types of indirect answers than previous computational models. Furthermore, since Yes-No questions and their answers have features in common with other types of adjacency pairs \[Levinson, 1983\], we expect that this approach can be extended to them as well. Finally, a discourse-plan-based approach to implicature has significant advantages over a licensing-rule-based approach. In the future, we would like to integrate our interpretation and generation components with a dialogue system and investigate other factors in generating indirect answers (e.g. multiple goals, stylistic concerns).</Paragraph>
  </Section>
class="xml-element"></Paper>