The features from the third dialogue turn in models with GRU have slightly higher mutual information than the ones from the models with LSTM.
the standard deviation between the features extracted by the GRUbased models are significantly smaller than the ones with LSTM, showing that between the models with LSTM and the ones with GRU, the features extracted from the models with GRU had more similar amount of contribution to the classification task than the ones from the LSTM.