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<Paper uid="P04-1010">
  <Title>Data-Driven Strategies for an Automated Dialogue System</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present a prototype natural-language problem-solving application for a financial services call center, developed as part of the Amities multilingual human-computer dialogue project. Our automated dialogue system, based on empirical evidence from real call-center conversations, features a data-driven approach that allows for mixed system/customer initiative and spontaneous conversation. Preliminary evaluation results indicate efficient dialogues and high user satisfaction, with performance comparable to or better than that of current conversational travel information systems.</Paragraph>
  </Section>
class="xml-element"></Paper>