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<Paper uid="C00-2121">
  <Title>McMahon J.G., Smith F.J.: Improving Statistical Language Model Pelformance with Automatically Generated Word Ilierarchies.</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we address the problem of discovering word semantic similarities via statistical processing of text corpora. We propose a knowledge-poor method that exploits the sentencial context of words for extracting similarity relations between them as well as semantic in nature word clusters.</Paragraph>
    <Paragraph position="1"> The approach aims at full portability across domains and languages and therefore is based on minimal resources.</Paragraph>
  </Section>
class="xml-element"></Paper>