The task of DA classification (sometimes called DA identification) is to attribute one member of a predefined DA to each given utterance.
given the aforementioned problems with RNNs, we use Long Short Term Memory (LSTM), which is a variation of RNNs that is tuned to preserve long-distance dependencies as their default specificity.