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<Paper uid="P98-2127">
  <Title>Automatic Retrieval and Clustering of Similar Words</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
lindek@ cs.umanitoba.ca
Abstract
</SectionTitle>
    <Paragraph position="0"> Bootstrapping semantics from text is one of the greatest challenges in natural language learning.</Paragraph>
    <Paragraph position="1"> We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed thesaurus. The evaluation results show that the thesaurns is significantly closer to WordNet than Roget Thesaurus is.</Paragraph>
  </Section>
class="xml-element"></Paper>