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<Paper uid="P98-2233">
  <Title>Feasibility Study for Ellipsis Resolution in Dialogues</Title>
  <Section position="7" start_page="10000" end_page="10000" type="concl">
    <SectionTitle>
6 Conclusion and Future Work
</SectionTitle>
    <Paragraph position="0"> This paper proposed a method for resolving the ellipsis that appear in Japanese dialogues. A machine-learning algorithm is used as the ac3\Ve practically regard them as topic-independent words, because expressing the speaker's intention/thought is topic-independent.</Paragraph>
    <Paragraph position="1">  tual ellipsis resolver with this approach. The results of blind tests have proven that the proposed method is able to provide a satisfactory resolution accuracy of 91.7% in indirect objects, and 78.7~ in subjects with verb predicates.</Paragraph>
    <Paragraph position="2"> We also discussed training size, topic dependency and difference in grammatical case in a decision tree. By investigating decision trees, we conclude that topic-dependent attributes are also necessary for obtaining higher performance, and that indispensable attributes depend on the grammatical case to resolve.</Paragraph>
    <Paragraph position="3"> Although this paper limits its scope, the proposed approach may also be applicable to other problems, such as referential property and the number of nouns, and in other languages such as Korean. In addition, we will explore contextua\] ellipses in the future, since it was found that most of the ellipses that appeared in spoken dialogues are found to be anaphoric in the : WO' case.</Paragraph>
  </Section>
class="xml-element"></Paper>