If we assume that the argument classifier returns an estimated conditional probability distribution, P rob(S i = c i ), then, given a sentence, the inference procedure seeks an global assignment that maximizes the following objective function, subject to linguistic and structural constraints.
this objective function reflects the expected number of correct argument predictions, subject to the constraints.