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<Paper uid="C92-4182">
  <Title>PRI~;DICTING NOUN~PIIRASE SURFACh; I~'ORMS USING Q~ONTEXTUAL \[NFORMA'PION</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper has proposed a context-sensitive method of predicting NPs in the next utterance of telephone inquiry dialogues. Abstract information about the constituents of the next utterance can be predicted based on the dialogue interpreting model.</Paragraph>
    <Paragraph position="1"> Then, domain-dependent knowledge for NP usage was developed based on an extended NP identification model. Tile knowledge base is characterized by its ability to derive the set of possible surface expression forms from the predicted contextual infornration. We define rules for applicable conditions, particularly ill polite Japanese, bmsed on an analysis of NP changes. Finally, using the above two mechanisms a strategy was proposed for selecting tile appropriate surface expression form representing the predicted concept in a context-sensitive way.</Paragraph>
    <Paragraph position="2"> In the fllture, we plan to integrate this method with a method of predicting expressions of tile speaker's intention, tp form a complete system. It is also vital to make tile method more powerful, so it can automatically construct the domain-dependent knowledge base from thesauri and/or corpora of tile domain, and call model and recognize various dialogue situations.</Paragraph>
  </Section>
class="xml-element"></Paper>