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<Paper uid="P82-1028">
  <Title>THE TEXT SYSTEM FO~NATURAL LANGUAGE GENERATION: AN OVERVIEW*</Title>
  <Section position="13" start_page="119" end_page="119" type="concl">
    <SectionTitle>
10.0 CONCLUSION
</SectionTitle>
    <Paragraph position="0"> The TEXT system successfully incorporates principles of relevancy criteria, discourse structure, and focus constraints into a method for generating English text of paragraph length.</Paragraph>
    <Paragraph position="1"> Previous work on focus of attention has been extended for the task of generation to provide constraints on what to say next. Knowledge about discourse structure has been encoded into schemas that are used to guide the generation process.</Paragraph>
    <Paragraph position="2"> The use of these two interacting mechanisms constitutes a departure from earlier generation systems. The approach taken in this research is that the generation process should not simply trace the knowledge representation to produce text. Instead, communicative strategies people are familiar with are used to effectively convey information. This means that the same information may be described in different ways on different occasions.</Paragraph>
    <Paragraph position="3"> The result is a system which constructs and orders a message in response to a given question. Although the system was designed to generate answers to questions about database structure (a feature lacking in most natural language database systems), the same techniques and principles could be used in other application areas (for example, computer assisted instruction systems, expert systems, etc.) where generation of language is needed.</Paragraph>
    <Paragraph position="4"> ~owl~~ I would like to thank Aravind Joshi, Bonnie Webber, Kathleen McCoy, and Eric Mays for their invaluable comments on the style and content of this paper. Thanks also goes to Kathleen Mccoy and Steven Bossie for their roles in implementing portions of the sys~om.</Paragraph>
  </Section>
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