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<Paper uid="P86-1015">
  <Title>A MODEL OF REVISION IN NATURAL LANGUAGE GENERATION</Title>
  <Section position="7" start_page="94" end_page="94" type="concl">
    <SectionTitle>
6. CONCLUSION
</SectionTitle>
    <Paragraph position="0"> Using the writing process as a model for generation is effective as a means of improving the quality of the text generated, especially when considering intersentential relations such as coherence. Decisions which increase coherence are difficult for a generator to make on a first pass without keeping an elaborate history of its previous decisions and being able to predict future decisions.</Paragraph>
    <Paragraph position="1"> Once the text has been generated however, revision can take advantage of the global information available to evaluate and improve coherence.</Paragraph>
    <Paragraph position="2"> The next steps in the development of the system proposed in this paper are clear: For the recognition phase, a more comprehensive set of evaluation criteria need to be enumerated and the requirements they place on a parser specified. For the editing phase, the relationships between strategies for improving text, and changes in generation decisions and variation in output text need to be explored. Finally, a prototypical model of the system needs, to be implemented so that the actual behavior of the system may be studied.</Paragraph>
  </Section>
class="xml-element"></Paper>