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<Paper uid="C94-2171">
  <Title>N-GRAM CLUSTER IDENTIFICATION DURING EMPIRICAL KNOWLEDGE REPRESENTATION GENERATION</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
Abstract:
</SectionTitle>
    <Paragraph position="0"> This paper presents an overview of current research concerning knowledge extraction from technical texts. In particular, the use of empirical techniques during the identification and generation of a semantic representation is considered. A key step is the discovery of useful n-grams and correlations between clusters of these n-grams.</Paragraph>
    <Paragraph position="1"> keywords: knowledge representation, large text corpora, language understanding.</Paragraph>
  </Section>
class="xml-element"></Paper>