<?xml version="1.0" standalone="yes"?>
<Paper uid="I05-4006">
  <Title>Construction of Structurally Annotated Spoken Dialogue Corpus</Title>
  <Section position="7" start_page="45" end_page="45" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we described the construction of a structurally annotated spoken dialogue corpus.</Paragraph>
    <Paragraph position="1"> From observating the restaurant guide dialogues, we designed the policy of the dialogue structure and annotated 789 dialogues consisting of 8150 utterances. Furthermore, we have evaluated the scalability of the corpus for creating dialogue-structural rules.</Paragraph>
    <Paragraph position="2"> We now introduce the application field of the structurally annotated dialogue corpus.</Paragraph>
    <Paragraph position="3"> Discourse analysis: Using a POD labeled information for each partial structure of the dialogue, we can obtain information such as the structure of the domain, the user's tasks, the dialogue formats, etc.</Paragraph>
    <Paragraph position="4"> Speech prediction and dialogue control: A system builds the structure of an input up to date and extracts the dialogue example that is most similar to the structure of the input from the corpus. If the next utterance or LIT of the extracted dialogue is the user's, the system waits for the user's utterance and predicts its meaning and intention. If the system's utterance is next, the system uses the utterance or LIT to control the dialogue.</Paragraph>
    <Paragraph position="5"> At the present time, we have run up the data of the corpus and built probabilistic dialogue-structural trees. Next, we will apply the trees to some components of the spoken dialogue systems such as speech prediction and dialogue control.</Paragraph>
  </Section>
class="xml-element"></Paper>