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<Paper uid="P04-1011">
  <Title>Trainable Sentence Planning for Complex Information Presentation in Spoken Dialog Systems</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> A challenging problem for spoken dialog systems is the design of utterance generation modules that are fast, exible and general, yet produce high quality output in particular domains.</Paragraph>
    <Paragraph position="1"> A promising approach is trainable generation, which uses general-purpose linguistic knowledge automatically adapted to the application domain. This paper presents a trainable sentence planner for the MATCH dialog system. We show that trainable sentence planning can produce output comparable to that of MATCH's template-based generator even for quite complex information presentations.</Paragraph>
  </Section>
class="xml-element"></Paper>