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<Paper uid="P06-1051">
  <Title>Automatic learning of textual entailments with cross-pair similarities</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs).</Paragraph>
    <Paragraph position="1"> This allows us to automatically learn the rewrite rules that describe a non trivial set of entailment cases. The experiments with the data sets of the RTE 2005 challenge show an improvement of 4.4% over the state-of-the-art methods.</Paragraph>
  </Section>
class="xml-element"></Paper>