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<Paper uid="W00-1317">
  <Title>Automated Construction of Database Interfaces: Integrating Statistical and Relational Learning for Semantic Parsing</Title>
  <Section position="7" start_page="139" end_page="139" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> A probabilistic framework for semantic shift-reduce parsing was presented. A new ILP learning system was also introduced which learns multiple hypotheses. These two techniques were integrated to learn semantic parsers for building NLI's to on|ine databases.</Paragraph>
    <Paragraph position="1"> Experimental results were presented that demonstrate that such an approach outperforms a purely logical approach in terms of the accuracy of the learned parser.</Paragraph>
  </Section>
class="xml-element"></Paper>