In the attentive reader and the static RNN decoder, we used LSTM (Hochreiter and Schmidhuber, 1997), a variant of the RNN model, and set the hidden size and dropout rate of RNN to 64 and 0.5, respectively.
the sequenceto-sequence model used GRU (Cho et al., 2014), another variant of the RNN model, and we set the hidden size of 64 and dropout rate of 0.5.