| Background | Most methods utilized the distributional similarity hypothesis that states that semantically similar predicates occur with similar arguments (Lin and Pantel, 2001; Szpektor et al., 2004; Yates and Etzioni, 2009; Schoenmackers et al., 2010). |
| Background | For every pair of predicates i, j, an entailment score wij was learned by training a classifier over distributional similarity features. |
| Experiments and Results | The data set also contains, for every pair of predicates i, j in every graph, a local score 87;], which is the output of a classifier trained over distributional similarity features. |