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<Paper uid="C96-2159">
  <Title>Decision Tree Learning Algorithm with Structured Attributes: Application to Verbal Case Frame Acquisition</Title>
  <Section position="7" start_page="947" end_page="947" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have proposed a decision tree learning algorithm (inductive Learning Algorithm with the Structured Attributes: LASA-1) that optimally handles the structured attributes. We applied LASA-1 to bilingual (English and Japanese) data and showed that it successfully leaned the generalized decision tree to classify the Japanese translation for &amp;quot;take.&amp;quot; The LASA-1 package still has some unmentioned features like the handling of the words unknown to the thesaurus and different a parameter setting. We would like to report those features at another opportunity after further experiments.</Paragraph>
  </Section>
class="xml-element"></Paper>