By contrast, both GRU and CNN have the ability of catching the richer semantic information in short texts, according to the layer-by-layer learning upon the distributed character embeddings.
generally, the architectures introducing CNN or RNN to learn representations of sentences and modeling the relevance of context and candidate response on hyper layers, tend to achieve state-of-the-art performance (Hu et al., 2014;Lowe et al., 2015).