The modified CRFs model allows us to flexibly define the interaction between estimated state values and virtual evidences by potential functions.
given labeled and unlabeled data, the learning objective is defined as follows: (5) where the conditional probability in the second term is denoted as The first term in Equation (5) is the same as Equation (2), which is the traditional CRFs learning objective function on the labeled data.