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<Paper uid="W06-2711">
  <Title>The SAMMIE Multimodal Dialogue Corpus Meets the Nite XML Toolkit</Title>
  <Section position="7" start_page="70" end_page="71" type="concl">
    <SectionTitle>
6 Summary
</SectionTitle>
    <Paragraph position="0"> We described a multi-layered corpus of multi-modal dialogues represented and annotated using NXT-based tools. Our data model relates linguistic and graphical realization to a rich set of context features and represents structural, hierarchical interactions between different annotation layers. We combined different annotation methods to construct the corpus. Manual annotation and annotation evaluation is on-going. The corpus will be used (i) investigate multimodal presentation and interaction strategies with respect  to dialogue context and (ii) to design an initial policy for reinforcement learning of multimodal clarification strategies.</Paragraph>
  </Section>
class="xml-element"></Paper>