The automatic recognition of Dialogue Acts has been addressed by the literature using various machine learning techniques.
dA classification has been modeled both as a sequence labeling problem, using techniques such as HMM (Stolcke et al., 2000), neural networks (Ji et al., 2016;Kumar et al., 2017) or CRF (Quarteroni et al., 2011), and as a multi-class classification problem, using for example SVM (Quarteroni and Riccardi, 2010).