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<Paper uid="W97-0813">
  <Title>Inferring Semantic Similarity from Distributional Evidence: an Analogy-based Approach to Word Sense Disambiguation*</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The paper describes an analogy-based measure of word-sense proximity grounded on distributional evidence in typical contexts, and illustrates a computational system which makes use of this measure for purposes of lexical disambiguation. Experimental results show that word-sense analogy based on contexts of use compares favourably with classical word-sense similarity defined in terms of thesaural proximity. null</Paragraph>
  </Section>
class="xml-element"></Paper>