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<Paper uid="C94-2189">
  <Title>ROBUST METHOD OF PRONOUN RESOLUTION USING FULL-TEXT INFORMATION</Title>
  <Section position="6" start_page="7158" end_page="7158" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have proposed a robust method of pronoun resolutimL that refers to information within tile source text in order to determine the preference value of each noun phrase that is a candidate for selection as the antecedent of a pronoun. This approach is practical in terms of the amount of knowledge it presupposes and the amount of computation it requires, since it basically relies only on the surface information in a text, and is fl'ee fi'om the knowledge acquisition bottleneck. null In experiments on computer manuals, we achieved a success rate of 93.8%. A remarkable ~uspect of this result is that we achieved it without referring to any outside knowledge resource except for the synonym relations in an on-line synonym dictionary. By combining heuristic rules to utilize wtrious information extracted from M1 the sentences in the source text, high accuracy can be achieved in pronoun resolution for a practical naturM language processing system.</Paragraph>
    <Paragraph position="1"> Tilt advantages of this approach are that a simple algorithm can extract information on syntactic position, repetition, and collocation pattervs hy referring to morphological informatiml within a source text, and that it does rot even assume a correct syntactic analysis or depend ov the formalism of syntactic parse trees, since it does not rely on any grammatical information except for modifier-nmdifiec relationships. This at)proach is especially effective in technical documents such as computer manuMs or patent doeuments in which words are use, d consistently in order to avoid ambiguity, and in which identical collocation patterns are frequently repeated in detailed descriptions of target objects or procedures.</Paragraph>
  </Section>
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