In this paper, we propose a novel deep structured learning model to address the shortcomings of the previous methods.
we adapt the structured support vector machine (SSVM) (Finley and Joachims, 2008) to incorporate linguistic constraints and domain knowledge for making joint predictions on events temporal relations.