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<Paper uid="W06-2201">
  <Title>Learning Effective Surface Text Patterns for Information Extraction</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present a novel method to identify effective surface text patterns using an internet search engine. Precision is only one of the criteria to identify the most effective patterns among the candidates found.</Paragraph>
    <Paragraph position="1"> Anotheraspectisfrequencyofoccurrence.</Paragraph>
    <Paragraph position="2"> Also, a pattern has to relate diverse instances if it expresses a non-functional relation. The learned surface text patterns are applied in an ontology population algorithm, which not only learns new instances of classes but also new instance-pairs of relations. We present some PSrst experiments with these methods.</Paragraph>
  </Section>
class="xml-element"></Paper>