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<Paper uid="W98-0704">
  <Title>The Use of WordNet in Information Retrieval</Title>
  <Section position="9" start_page="324" end_page="324" type="concl">
    <SectionTitle>
7 Conclusions
</SectionTitle>
    <Paragraph position="0"> This paper analyzed why the use of WordNet has failed to improve the retrieval effectiveness in information retrieval applications. We found that the main reason is that most relationships between terms are not found in WordNet, and some terms, such as proper names, are not ineluded in WordNet. To overcome this problem we proposed a method to enrich the WordNet with automatically constructed thesauri.</Paragraph>
    <Paragraph position="1"> Another problem in query expansion is that of polysemous words. Instead of using a word sense disambiguation method to select the apropriate sense of each word, we overcame this problem with a weighting method. Experiments proved that our method of using WordNet in query expansion could improve information retrieval effectiveness.</Paragraph>
    <Paragraph position="2"> Future work will include experiments on larger test collections, and the use of WordNet in methods other than query expansion in information retrieval.</Paragraph>
  </Section>
class="xml-element"></Paper>