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<Paper uid="N04-4011">
  <Title>Performance Evaluation and Error Analysis for Multimodal Reference Resolution in a Conversation System</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Multimodal reference resolution is a process that automatically identifies what users refer to during multimodal human-machine conversation. Given the substantial work on multimodal reference resolution; it is important to evaluate the current state of the art, understand the limitations, and identify directions for future improvement. We conducted a series of user studies to evaluate the capability of reference resolution in a multimodal conversation system. This paper analyzes the main error sources during real-time human-machine interaction and presents key strategies for designing robust multimodal reference resolution algorithms.</Paragraph>
  </Section>
class="xml-element"></Paper>