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<Paper uid="P98-1116">
  <Title>Generation that Exploits Corpus-Based Statistical Knowledge</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We describe novel aspects of a new natural language generator called Nitrogen. This generator has a highly flexible input representation that allows a spectrum of input from syntactic to semantic depth, and shifts' the burden of many linguistic decisions to the statistical post-processor. The generation algorithm is compositional, making it efficient, yet it also handles non-compositional aspects of language.</Paragraph>
    <Paragraph position="1"> Nitrogen's design makes it robust and scalable, operating with lexicons and knowledge bases of one hundred thousand entities.</Paragraph>
  </Section>
class="xml-element"></Paper>