The claim and evidence representations can be learned with neural networks such as recurrent neural networks (RNNs) (Rashkin et al., 2017) or convolutional neural networks (CNNs) (Wang, 2017).
none of these work conducts fact checking problem in QA settings with associated well-formatted evidence sentences.