To address the above two problems, this paper proposes a graph-based method, which can effectively exploit both the context of a predicate and the inter-dependencies between predicates for accurate inference rule discovery.
we propose a graph-based representation, called Predicate Graph, which can capture the semantic relevance between predicates and features by encoding both the predicate-feature co-occurrence statistics and the rich inter-dependencies between predicates.