File Information
File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/concl/99/p99-1057_concl.xml
Size: 762 bytes
Last Modified: 2025-10-06 13:58:30
<?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>