Pre-trained factual consistency checking model for abstractive summaries introduced in the following NAACL-22 paper.
from transformers import AutoModelforSequenceClassification
model = AutoModelforSequenceClassification("henry931007/mfma")
@inproceedings{lee2022mfma,
title={Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking},
author={Hwanhee Lee and Kang Min Yoo and Joonsuk Park and Hwaran Lee and Kyomin Jung},
year={2022},
month={july},
booktitle={Findings of the Association for Computational Linguistics: NAACL 2022},
}