Our experimental results suggest that meaningful pattern-based entailment graphs can be constructed automatically and that the derived knowledge is in fact valuable for selecting useful relation extraction patterns.
entailment graph based filtering can help achieve higher precision than methods which do not take into account the asymmetric nature of semantic relations.