To obtain a universal representation for both the question and the passage, we utilize BERT (Devlin et al., 2019), a pre-trained deep bidirectional Transformer model that achieves state-of-the-art performance across various tasks, as the encoder.
we first tokenize the question and  Figure 2: An illustration of MTMSN architecture.