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<Paper uid="W06-1808">
  <Title>Numerical Data Integration for Cooperative Question-Answering</Title>
  <Section position="7" start_page="5" end_page="5" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we presented an approach for the generation of cooperative numerical answers in a question-answering system. Our method allows us to generate: (1) a correct synthetic answer over a whole set of data and, (2) a cooperative part which explains the variation phenomenon to the user, whenever several numerical values are extracted as possible answers to a question. Information is first extracted from web pages so that numerical values can be characterized: variation criteria and mode are then identified in order to generate explanation to the user. Several future directions are obviously considered: an analysis of needs for common knowledge so that the answer characterization task is made easier, an analysis of how restrictions are lexicalized in texts (adjectives, relative clauses, etc.) in order to extract them easily, an evaluation of the knowledge costs and of what domain specific is (especially for common knowledge about restrictions), an evaluation of the quality of answers proposed to users and of the utility of a user model for the selection of the best answer.</Paragraph>
  </Section>
class="xml-element"></Paper>