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<Paper uid="C00-1072">
  <Title>The Automated Acquisition of Topic Signatures for Text Summarization</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In order to produce, a good summary, one has to identify the most relevant portions of a given text. We describe in this t)at)er a method for automatically training tel)it, signatures--sets of related words, with associated weights, organized around head topics and illustrate with signatm'es we cre;tt.ed with 6,194 TREC collection texts over 4 selected tot)ics. We descril)e the l)ossible integration of' tolli(: signatures with ontoh)gies and its evaluaton on an automate(l text summarization system.</Paragraph>
  </Section>
class="xml-element"></Paper>