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<Paper uid="N04-1010">
  <Title>Acquiring Hyponymy Relations from Web Documents</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Concluding Remarks and Future Work
</SectionTitle>
    <Paragraph position="0"> We have proposed a method for acquiring hyponymy relations from Web documents, and have shown its effectiveness through experimental results. We also showed 6More precisely, we sorted only the hyponym candidates in the order used by our procedure for sorting, and attached the hypernym candidates produced by each alternative to the hyponym candidates.</Paragraph>
    <Paragraph position="1"> that our method could find a significant number of hyponymy relations that alternative methods could not, at least when the amount of documents used was rather small.</Paragraph>
    <Paragraph position="2"> The first goal of our future work is to further improve the precision of our method. One possible approach will be to combine our methods with alternative techniques, which were actually examined in our experiments. Our second goal is to extend our method so that it can handle multi-word hypernyms. Currently, our method produces just &amp;quot;company&amp;quot; as a hypernym of &amp;quot;Toyota&amp;quot;. If we can obtain a multi-word hypernym such as &amp;quot;automobile manufacturer,&amp;quot; it can provide more useful information to various types of natural language processing systems.</Paragraph>
  </Section>
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