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<Paper uid="P99-1032">
  <Title>Development and Use of a Gold-Standard Data Set for Subjectivity Classifications</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents a case study of analyzing and improving intercoder reliability in discourse tagging using statistical techniques. Bias-corrected tags are formulated and successfully used to guide a revision of the coding manual and develop an automatic classifier.</Paragraph>
  </Section>
class="xml-element"></Paper>