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<Paper uid="C96-1087">
  <Title>A Probabilistic Approach to Compound Noun Indexing in Korean Texts</Title>
  <Section position="6" start_page="525" end_page="525" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> The compound analysis in automatic indexing aims at the improvement of recall performance by extracting useful component nouns fi'om compound nouns. The task for Korean texts requires extra efforts due to the complexity of inflections.</Paragraph>
    <Paragraph position="1"> The proposed method gives better potential of sustaining the precision while improving the recall than other approaches by making use of probabilistic distributions of terms as the representation of meaning of the terms.</Paragraph>
    <Paragraph position="2"> The proposed method to evaluate the coinponents of compound nouns is unique in that it delines and uses term representation, which explains the superiority of the method to other methods.</Paragraph>
    <Paragraph position="3"> The method requires little human involvement and is very promising for the implementation of practical systems by achieving efficiency and accuracy at the same time.</Paragraph>
  </Section>
class="xml-element"></Paper>