Many neural models have been proposed to tackle the machine RC/QA problem (Seo et al., 2016;Xiong et al., 2016;Tay et al., 2018), and great success has been achieved, especially after the release of the BERT (Devlin et al., 2018).
current research mainly focuses on machine RC/QA on a single document or paragraph, and still lacks the ability to do reasoning across multiple documents when a single document is not enough to find the correct answer.