As mentioned above, Shen and Lee (2016) employed an attentional RNN for independent DA classification; they achieved an accuracy of 72.6% on textual transcriptions of the Switchboard corpus.
the sequence-labeling task involves learning a model that maps an input sequence to an output sequence.