We find that the Basic(word+pos+position) method significantly outperforms (Jia et al., 2018), and our Refined model performs significantly better than Basic(word+pos+position) (with p < 0.1).
and, the neural network design is flexible enough to incorporate various clues into a uniform framework, just like how we introduce the memory networks as a proxy to capture discourse cohesion.