Along with the development of this dataset, a variety of neural MRC models have been proposed, such as BiDAF (Seo et al., 2016), R-NET (Wang et al., 2017), ReasonNet (Shen et al., 2017), DCN (Xiong et al., 2016), QANet (Yu et al., 2018), SAN , etc.
after that, we train MRC models on this language-mixed dataset to endow them with the multilingual comprehension capacity.