In other words, instead of modeling the joint probability of the input sentence and its dependency parse as in a generative model, we model the conditional probability of the sentence and parse given global information of the sentence.
our approach breaks the context-free assumption in a similar way to discriminative approaches, while it is still able to utilize many previous techniques (e.g., initialization and regularization techniques) of generative approaches.