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<Paper uid="P93-1021">
  <Title>A LANGUAGE-INDEPENDENT ANAPHORA RES()LUTION SYSTEM FOR UNDERSTANDING MULTILINGUAL TEXTS</Title>
  <Section position="6" start_page="161" end_page="161" type="concl">
    <SectionTitle>
4 Related Work
</SectionTitle>
    <Paragraph position="0"> Our discourse module is similar to Carbonell and Brown \[6\] and Rich and LuperFoy's \[16\] work in using multiple KS's rather than a monolithic approach (cf. Grosz, Joshi and Weinstein \[9\], Grosz and Sidner \[8\], Hobbs \[12\], Ingria and Stallard \[13\]) for anaphora resolution. However, the main difference is that our system can deal with multiple languages as well as multiple discourse phenomena 5 because of our more fine-grained and hierarchically organized KS's. Also, our system can be evaluated and tuned at a low level because each KS is independent of discourse phenomena and can be turned off and on for automatic evaluation. This feature is very important because we use our system to process real-world data in different domains for tasks involving text understanding.</Paragraph>
  </Section>
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