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<Paper uid="H91-1064">
  <Title>DISCOURSE STRUCTURE IN THE TRAINS PROJECT</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> The TRAINS project involves building an intelligent planning assistant that is eonversationally-proficit in natural language. The name of the project comes from the domain used to test and demonstrate the ideas: the system acts as an intelligent assistant to a person attempting to solve transportation problems involving freight trains and factories in a simulated world. The system assists in formulating plans, and monitors these plans as they are executed by the simulated agents in a simulated TRAINS world, providing updates and support to the human in replanning as necessary. The human should be able to communicate using unconstrained natural, spoken language.</Paragraph>
    <Paragraph position="1"> We have started to collect dialogs using a wizard scenario in the TRAINS domain and have built an initial prototype system. The current system uses keyboard input derived from the transcripts of actual spoken dialogs. The dialogs exhibit complex behavior as both the human and system take initiative at times in the dialog, and there are a large number of clarifications, corrections and acknowledgements.</Paragraph>
    <Paragraph position="2"> This short paper describes both our empirical work in analyzing the transcripts, and our theoretical work in defining a computational discourse model.</Paragraph>
  </Section>
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