We implement several widely-used sequence classification models, including Convolutional Neural Network (CNN) (Kim, 2014), Long-Short Term Memory Network (LSTM) (Schuster and Paliwal, 1997), and Recurrent Convolutional Neural Network (RCNN) (Lai et al., 2015) Structured models use separate structures to encode different source information and adopt an additional structure to model the inter-relation of the source information.
we use two representative neural networks, Hierarchical Attention Network (HAN) (Yang et al., 2016) and Dynamic Memory Network (DMN) (Kumar et al., 2016), as our structured baselines.