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<Paper uid="W97-0806">
  <Title>Integrating a Lexical Database and a Training Collection for Text Categoriza tion</Title>
  <Section position="9" start_page="42" end_page="42" type="concl">
    <SectionTitle>
6 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> In this paper, we have presented a multiple resource approach for TC. This approach integrates the use of a lexical database and a training collection in a vector space model for TC. The technique is based on improving the language of representation construction through the use of the lexical database, which overcomes training deficiencies. We have tested our approach against training algorithms and lexical database algorithms, reporting better results than both of these techniques. We have also acknowledged that a lexical database algorithm can rival training algorithms in real world situations.</Paragraph>
    <Paragraph position="1"> Two main work lines are open: first, we have to conduct new series of experiments to check the lexical database and the combined approaches with other more sophisticated training approaches; second, we will extend the multiple resource technique to other text classification tasks, like text routing or relevance feedback in text retrieval.</Paragraph>
  </Section>
class="xml-element"></Paper>