Nevertheless, we decided not to implement bRol using separate PC classifiers for two reasons: (1) The size of our training set is too limited for this approach to be effective: we have 11,740 predicate instances and 8,166 correspond to the 80 verbs with multiple senses (69.55%).
the average number of instances available for training each separate classifier is 102.