Although capable of classifying utterances with CDAs, Qu et al. <cite>[14]</cite> 's model only concerns a strictly-local context range and thus cannot include distant information. In this paper, we present a novel neural model that is adapted from Convolutional Recurrent Neural Network (CRNN) to both incorporate the interaction between distant utterances and generalize the DA recognition task to accommodate CDA.