Due to this property of SQuAD, translating the triple (p, q, a) is non-trivial: when p and a are translated into target language, p t and a t , a t ⊆ p t may no longer hold.
due to the commonality of BidAF and BERT, taking question and passage as input and generating passage representations for answer span prediction, we can apply BERT to our approach, as shown in Figure 2 (Center), by modifying Refinery module of modeling confidence score.