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<Paper uid="W04-3205">
  <Title>VERBOCEAN: Mining the Web for Fine-Grained Semantic Verb Relations</Title>
  <Section position="8" start_page="21" end_page="21" type="concl">
    <SectionTitle>
7 Conclusions
</SectionTitle>
    <Paragraph position="0"> We have demonstrated that certain fine-grained semantic relations between verbs are present on the Web, and are extractable with a simple pattern-based approach. In addition to discovering relations identified in WordNet, such as opposition and enablement, we obtain strong results on strength relations (for which no wide-coverage resource is available). On a set of 29,165 associated verb pairs, experimental results show an accuracy of 65.5% in assigning similarity, strength, antonymy, enablement, and happens-before.</Paragraph>
    <Paragraph position="1"> Further work may refine extraction methods and further process the mined semantics to derive other relations such as entailment.</Paragraph>
    <Paragraph position="2"> We hope to open the way to inferring implied, but not stated assertions and to benefit applications such as question answering, information retrieval, and summarization.</Paragraph>
  </Section>
class="xml-element"></Paper>