To do this, the model predicts a t at each step using a simple two-way softmax classifier whose input is the state of the tracking LSTM: The above model is nearly the simplest viable implementation of a transition decision function.
on pairs with premises of 20 or more words, the RNN's 76.7% accuracy, while SPINN-PI reaches 80.2%.