Our hybrid model for a structured predictor is designed by the discriminative combination of several joint probability densities of x and y, p(x, y).
the posterior probability of our hybrid model is defined by providing the log-values of p(x, y) as the features of a log-linear model, such that: Here, j=1 represent model parameters of individual models estimated from labeled and unlabeled data, respectively.