However, in our joint inference approaches, the attribute classification models are trained independently from the segmentation model, and the training examples for the classifiers only consist of correctly labeled expressions ("unjust" as a nested opinion expression in this example would not be considered in the training data for the attribute classifier).
the joint inference approaches do not suffer from this issue.