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<Paper uid="C02-1150">
  <Title>Learning Question Classifiers</Title>
  <Section position="11" start_page="3" end_page="3" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper presents a machine learning approach to question classification. We developed a hierarchical classifier that is guided by a layered semantic hierarchy of answers types, and used it to classify questions into fine-grained classes. Our experimental results prove that the question classification problem can be solved quite accurately using a learning approach, and exhibit the benefits of features based on semantic analysis.</Paragraph>
    <Paragraph position="1"> In future work we plan to investigate further the application of deeper semantic analysis (including better named entity and semantic categorization) to feature extraction, automate the generation of the semantic features and develop a better understanding to some of the learning issues involved in the difference between a flat and a hierarchical classifier. null</Paragraph>
  </Section>
class="xml-element"></Paper>