File Information

File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/abstr/04/w04-2506_abstr.xml

Size: 815 bytes

Last Modified: 2025-10-06 13:44:09

<?xml version="1.0" standalone="yes"?>
<Paper uid="W04-2506">
  <Title>A Novel Approach to Focus Identification in Question/Answering Systems</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Modern Question/Answering systems rely on expected answer types for processing questions. The answer type is a semantic category provided by Named Entity recognizer or by semantic hierarchies. We argue in this paper that Q/A systems should take advantage of the topic information by exploiting several models of question and answer categorization.</Paragraph>
    <Paragraph position="1"> The matching of the question category with the answer category allows the system to filter out many incorrect answers.</Paragraph>
  </Section>
class="xml-element"></Paper>
Download Original XML