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<?xml version="1.0" standalone="yes"?>
<Paper uid="P99-1057">
  <Title>Learning to Recognize Tables in Free Text Hwee Tou Ng</Title>
  <Section position="8" start_page="449" end_page="449" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we present a new approach that learns to recognize tables in free text, including the boundary, rows and columns of tables. When tested on Wall Street Journal news documents, our learning approach outperforms a deterministic table recognition algorithm that identifies tables based on a fixed set of conditions. Our learning approach is also more flexible and easily adaptable to texts in different domains with different table characteristics.</Paragraph>
  </Section>
class="xml-element"></Paper>
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