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<Paper uid="P98-1016">
  <Title>Redundancy: helping semantic disambiguation</Title>
  <Section position="6" start_page="107" end_page="107" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> We presented the problem of semantic disambiguation as solving ambiguities at the concept level (word sense and anaphora) but also at the link level (the relations between concepts).</Paragraph>
    <Paragraph position="1"> We showed that when gathering information around a particular subject via a clustering method, we tend to cumulate similar facts expressed in slightly different ways. That redundancy is expressed by multiple copies of compatible/identical concepts and relations in the resulting graph which is called a CCKG (Concept Clustering Knowledge Graph). The redundancy within the links (relations) helps disambiguate the concepts they connect and the redundancy within the concepts helps disambiguate the links connecting them. Clustering has been used a lot in previous research but only at the concept level; we propose that it is essential to understand the links between the concepts in the cluster if we want to disambiguate between elements that share a similar context of usage.</Paragraph>
  </Section>
class="xml-element"></Paper>