As illustrated in Figure 2, the proposed STM framework includes two parts: (i) representation module and (ii) matching block.
representations of the dialogue context and candidate answers are first learned through from dual encoders, and deep 3D ConvNets (Ji et al., 2013) are then used to match attentions between the dialogue contexts and candidate answers.