Ideally the model should be time-variant and uses time step as variable too, because the time/stage of a dialogue may have an impact on the labels.
for LSTM-CRf, our final model has 1024 LSTM units to process sequences of sentence embeddings, and the hidden layers have 1024 and 512 neurons, respectively.