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<Paper uid="H92-1094">
  <Title>AUGMENTING WITH SLOT FILLER RELEVANCY SIGNATURES DATA</Title>
  <Section position="5" start_page="457" end_page="458" type="concl">
    <SectionTitle>
CONCLUSIONS
</SectionTitle>
    <Paragraph position="0"> We have demonstrated that augmented relevancy signatures can achieve higher levels of precision than relevency signatures alone while maintaining significant levels of mall. Augmenting relevancy signatures with slot filler information allows us to make more fine-grained domain relevancy classifications. Furthermore, the additional s!ot filler data can be acquired automatically from a training corpus using the same selective concept extraction techniques needed to collect the relevancy signatures.</Paragraph>
    <Paragraph position="1"> Combining slot filler information with relevancy signatures is a promising approach for improving precision without sacrificing significant recall in text classification tasks.</Paragraph>
  </Section>
class="xml-element"></Paper>