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<Paper uid="W05-1207">
  <Title>Discovering entailment relations using &amp;quot;textual entailment patterns&amp;quot;</Title>
  <Section position="5" start_page="40" end_page="41" type="concl">
    <SectionTitle>
4 Conclusions
</SectionTitle>
    <Paragraph position="0"> We have defined a method to recognise and extract entailment relations between verb pairs based on what we call textual entailment pattern. In this work we defined a first kernel of textual entailment patterns based on subject-verb relations. Potentials of the method are still high as different kinds of textual  entailment patterns may be defined or discovered investigating relations between sentences and sub-sentences as done in (Lapata and Lascarides, 2004) for temporal relations or between near sentences as done in (Basili et al., 2003) for cause-effect relations between domain events. Some interesting and simple inter-sentential patters are defined in (Chklovski and Pantel, 2004). Moreover, with respect to anchor-based approaches, the method we presented here offers a different point of view on the problem of acquiring textual entailment relation prototypes, as textual entailment patterns do not depend on the repetition of &amp;quot;similar&amp;quot; facts. This practically independent view may open the possibility to experiment co-training algorithms (Blum and Mitchell, 1998) also in this area. Finally, the approach proposed can be useful to define better probability estimations in probabilistic entailment detection methods such as the one described in (Glickman et al., 2005).</Paragraph>
  </Section>
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