fact verification model(FVM) Is trained on FEVER, which aims to predict the veracity of a textual claim against a trustworthy knowledge source such as Wikipedia.

This repo hosts the following pre-trained models for FVM:

fact_checking/: the verification models based on BERT (large) and RoBERTa (large), respectively.
mrc_seq2seq/: the generative machine reading comprehension model based on BART (base).
evidence_retrieval/: the evidence sentence ranking models, which are copied directly from KGAT.