Corpus ID: 171268

Global Learning of Typed Entailment Rules

  title={Global Learning of Typed Entailment Rules},
  author={Jonathan Berant and I. Dagan and J. Goldberger},
  • Jonathan Berant, I. Dagan, J. Goldberger
  • Published in ACL 2011
  • Computer Science
  • Extensive knowledge bases of entailment rules between predicates are crucial for applied semantic inference. [...] Key Method We apply the algorithm over a large data set of extracted predicate instances, from which a resource of typed entailment rules has been recently released (Schoenmackers et al., 2010). Our results show that using global transitivity information substantially improves performance over this resource and several baselines, and that our scaling methods allow us to increase the scope of global…Expand Abstract

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