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<Paper uid="P99-1030">
  <Title>Analysis System of Speech Acts and Discourse Structures Using Maximum Entropy Model*</Title>
  <Section position="5" start_page="235" end_page="235" type="concl">
    <SectionTitle>
Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we propose a statistical dialogue analysis model which can perform both speech act analysis and discourse structure analysis using maximum entropy model. The model can automatically acquire discourse knowledge from a discourse tagged corpus to resolve ambiguities.</Paragraph>
    <Paragraph position="1"> We defined the DSBs to represent the structural relationship of discourse between two consecutive utterances in a dialogue and used them for statistically analyzing both the speech act of an utterance and the discourse structure of a dialogue. By using the separated feature functions together with the unified feature functions, we could alleviate the data sparseness problems to improve the system performance.</Paragraph>
    <Paragraph position="2"> The model can, we believe, analyze dialogues more effectively than other previous works because it manages speech act analysis and discourse structure analysis at the same time using the same framework.</Paragraph>
  </Section>
class="xml-element"></Paper>