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<Paper uid="W98-1219">
  <Title>Proper Name Classification in an Information Extraction Toolset</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Applied discourse analysis is a hot topic in Information Retrieval (IR) and the related field of Information Extraction (IE). Although interesting observations about discourse can be made &amp;quot;by hand,&amp;quot; applications require large quantities of data about language -- data which is rather uninteresting. This paper investigates using statistical analysis over a body of text to suggest new rules for recognizing named entities.</Paragraph>
  </Section>
class="xml-element"></Paper>