To achieve this, we propose a joint inference approach that allows information flow among the three local models and finds globally-optimal assignments of all variables, including the trigger variables t, the argument role variables r, and the entity variables a.
we define the following objective: The first term is the sum of confidence scores for individual event mentions based on the parameter estimates from the within-event model.