To incorporate additional knowledge from an AMR graph, an external attention model is adopted over the baseline model.
the attention memory from the AMR graph is the last graph state In addition, the contextual vector based on the graph state is calculated as: Finally,ζ m is incorporated into the calculation of the output probability distribution over the target vocabulary (previously defined in Equation 1): Given a set of training instances {(X (1) , Y (1) ), (X (2) , Y (2) ), .