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<Paper uid="W97-0711">
  <Title>A Scalable Summarization System Using Robust NLP</Title>
  <Section position="6" start_page="71" end_page="71" type="concl">
    <SectionTitle>
5 Summary
</SectionTitle>
    <Paragraph position="0"> The DlmSum summarization system leverages off.</Paragraph>
    <Paragraph position="1"> of the works of (Kuplec, Pedersen, and Chen, 1995) and (Brandow, Mltze, .and Ran, 1995), and advances summarmatlon technology by applynag corpus-based statistical NLP teehmques, robust information extraction, and readily avaalable on-hne resources Our prehxmnary experiments with combining different summarization features have been reported, and our current effort to learn to combine these features to produce the best summaries has been described The features derived by these robust NLP techmques were also utihzed m presentmg multiple summary.vtews to the user m a novel way</Paragraph>
  </Section>
class="xml-element"></Paper>