For example, for a relation pay an official visit to, with a statement (Bush, pay an official visit to, China), an entity pair (Bush, China) is in the "support set", which is a set of co-occurring entity pairs of pay an official visit to.
when its support set is {(Bush, China), (Mandelson, Moscow), (Rice, Israel)}, and that of visit is {(Bush, China), (Rice, Israel), (Medvedev, Cuba)}, we can infer their semantic equivalence based on the set intersection: we propose to explore corpus latent features (LF), to complement the sparsity problem of EF: Out of 158 randomly chosen correct relation translation pairs we labeled, 64% has only one co-occurring entity pair, which makes EF not very effective to identify these relation translations.