FgNLI

Dataset for "Identifying inherent disagreement in natural language inference" (NAACL 2021)

We will release codes and pretrained models soon.

Citation

Please cite our paper if you find our work/dataset useful:

@inproceedings{zhang-de-marneffe-2021-identifying,
    title = "Identifying inherent disagreement in natural language inference",
    author = "Zhang, Xinliang Frederick  and
      de Marneffe, Marie-Catherine",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.naacl-main.390",
    pages = "4908--4915",
}