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<Paper uid="P95-1018">
  <Title>Getting the message across in RST-based text</Title>
  <Section position="7" start_page="133" end_page="134" type="concl">
    <SectionTitle>
4 Conclusions
</SectionTitle>
    <Paragraph position="0"> We have introduced Relational Discourse Analysis, a coding scheme for the exhaustive analysis of text or single speaker discourse. RDA is a synthesis of ideas from two theories of discourse structure (Grosz and Sidner, 1986; Mann and Thompson, 1988). It provides a system for analyzing discourse and formulating hypotheses about cue selection and placement.</Paragraph>
    <Paragraph position="1"> The corpus study results in rules for cue selection and placement that will then be exercised by our text generator. Evaluation of these automatically generated texts forms the basis for further exploration of the corpus and subsequent refinement of the rules for cue selection and placement.</Paragraph>
    <Paragraph position="2"> Two initial results from the corpus study were reported. While the factor of core:contributor order accounted for the choice between s~ce and BE-CAUSE, this factor could not be explained in terms of whether the contributor can be attributed to the hearer. Alternative explanations for the ordering factor will be explored in future work, including other types given-new distinctions and larger contextual factors such as focus. Second, the cue selection for one relation was found to constrain the cue selection for embedded relations to be distinct cues.</Paragraph>
    <Paragraph position="3"> Both of these results are being implemented in our text generator.</Paragraph>
  </Section>
class="xml-element"></Paper>