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<Paper uid="P82-1029">
  <Title>Creating Meaningful Sub-Types in a Database Knowledge Representation For Natural Language</Title>
  <Section position="11" start_page="127" end_page="127" type="concl">
    <SectionTitle>
8.0 CONCLUSION
</SectionTitle>
    <Paragraph position="0"> A system has been described which automatically creates part of a knowledge representation used for natural language generation. 'IRis enables the generation system to give a richer description of the database, since the information generated by ENHANCE can be used to make comparisons between sub-classes which would otherwise require use of extensive inferencing.</Paragraph>
    <Paragraph position="1"> ENHANCE generates sub-classes of the entity classes in the database; it uses a set of world knowledge axioms to guide the formation of the sub-classes. The axioms ensure the sub-classes are meaningful and that salient information is chosen for the sub-class descriptions. This in turn ensures that the generation system will have salient information available to use making the generated text more meaningful to the user.</Paragraph>
  </Section>
class="xml-element"></Paper>
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