In the E-step of the Posterior Regularization training (Ganchev et al., 2010), the computation of the posterior regularizer remains unchanged.
the M-step is modified so that the classifier parameters θ are learned using both the inferred labels for the unlabeled data, and provided labels for the labeled examples.