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<Paper uid="N06-1057">
  <Title>ParaEval: Using Paraphrases to Evaluate Summaries Automatically</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> ParaEval is an automated evaluation method for comparing reference and peer summaries. It facilitates a tieredcomparison strategy where recall-oriented global optimal and local greedy searches for paraphrase matching are enabled in the top tiers. We utilize a domain-independent paraphrase table extracted from a large bilingual parallel corpus using methods from Machine Translation (MT). We show that the quality of ParaEval's evaluations, measured by correlating with human judgments, closely resembles that of ROUGE's.</Paragraph>
  </Section>
class="xml-element"></Paper>