We propose two mechanisms to exploit the structure of evidence while leveraging the advances of pre-trained models like BERT, GPT or XLNet.
using XLNet as the backbone, we first utilize the graph structure to redefine the relative distances of words, with the intuition that semantically related words should have short distances.