There are source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.

For more information about the FEVER 1.0 shared task can be found on this website.

• Python 3.X
• fever_score
• Pytorch
• pytorch_pretrained_bert

• Can be found at Google Drive.

• BERT based ranker.
• Go to the retrieval_model folder for more information.

• Pre-train BERT with claim-evidence pairs.
• Go to the pretrain folder for more information.

• Our KGAT model.
• Go to the kgat folder for more information.

The results are all on Codalab leaderboard.

KGAT performance with different pre-trained language model.

@inproceedings{liu2020kernel,
  title={Fine-grained Fact Verification with Kernel Graph Attention Network},
  author={Liu, Zhenghao and Xiong, Chenyan and Sun, Maosong and Liu, Zhiyuan},
  booktitle={Proceedings of ACL},
  year={2020}
}

If you have questions, suggestions and bug reports, please email:

[email protected]