Therefore, we choose the following decomposition: where F (x, y t , y 1:t−1 ) is a factor scoring function.
a local prediction y t depends on all the previous decisions, y 1:t−1 in our model, which resembles recurrent neural network (RNN) models (Elman, 1990;Hochreiter and Schmidhuber, 1997).