We define all of the parameters for the stage of argument classification to be trained as θ = (E, P F 1 , P F 2 , EF, W, b, W S , b s ).
e is the word embedding, P F 1 and P F 2 are the position embedding, eF is the embedding of the event type, W and b are the parameter of the filter, W s and b s are all of the parameters of the output layer.