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<Paper uid="E06-1039">
  <Title>Multi-Document Summarization of Evaluative Text</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We present and compare two approaches to the task of summarizing evaluative arguments. Thefirstisasentence extraction-based approach while the second is a language generation-based approach. We evaluate these approaches in a user study and find that they quantitatively perform equally well. Qualitatively, however, we findthattheyperform wellfor different but complementary reasons. We conclude that an effective method for summarizing evaluative arguments must effectively synthesize the two approaches.</Paragraph>
  </Section>
class="xml-element"></Paper>