Sense-based models use the information from the AnCora-Nom-R3 lexicon at sense level, that is, the features for learning (and classification) are associated with the specific senses.
closely related to SRL is the task of learning Selectional Restrictions for a predicate, for example, the kind of semantic class each argument of the predicate must belong to (Mechura 2008).