Intuitively, the contrastive example v ij should not be as informative to the learning algorithm as the original review x i , since one of the supporting regions identified by the human annotator has been deleted.
the correct learned model should be less confident of its classification of a contrastive example vs. the corresponding original example, and the classification boundary of the model should be modified accordingly.