We also experimented with the following neural network architectures for the classification: LSTM-RNN (Hochreiter and Schmidhuber, 1997), HAN (Yang et al., 2016), QRNN (Bradbury et al., 2017), and VDCNN (Conneau et al., 2017).
these models did not achieve any substantial performance gain to justify their additional complexity.