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<Paper uid="W02-2023">
  <Title>Named Entity Learning and Verification: Expectation Maximization in Large Co r pora</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The regularity of named entities is used to learn names and to extract named entities. Having only a few name elements and a set of patterns the a l gorithm learns new names and its elements. A verification step assures quality using a large background corpus. Further improvement is reached through classifying the newly learnt elements on character level. Moreover, unsupe r vised rule learning is discussed.</Paragraph>
  </Section>
class="xml-element"></Paper>