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<Paper uid="W98-0710">
  <Title>Aligning WordNet with Additional Lexical Resources</Title>
  <Section position="7" start_page="78" end_page="79" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In general we cannot expect that a single resource will be sufficient for any NLP application. WordNet is no exception, but we can nevertheless enhance its  utility. The study reported here began to explore the nature of WordNet in relation to other lexical resources, to find out where and how it differs from them, and to identify possible ways to absorb additional information. Apart from linking WordNet and LDOCE, as Knight and Luk (1994) did, we also experimented with ROGET to broaden the amount and type of information. The results suggest that, with an algorithm like the one described, WordNet can be fine-tuned and combined with other available resources to better meet the various information requirement of many applications.</Paragraph>
  </Section>
class="xml-element"></Paper>