Fine-grained Factual Consistency Assessment for Abstractive Summarization Models

Sen Zhang, Jianwei Niu, Chuyuan Wei. Fine-grained Factual Consistency Assessment for Abstractive Summarization Models. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 107-116, Association for Computational Linguistics, 2021. [doi]

@inproceedings{ZhangNW21,
  title = {Fine-grained Factual Consistency Assessment for Abstractive Summarization Models},
  author = {Sen Zhang and Jianwei Niu and Chuyuan Wei},
  year = {2021},
  url = {https://aclanthology.org/2021.emnlp-main.9},
  researchr = {https://researchr.org/publication/ZhangNW21},
  cites = {0},
  citedby = {0},
  pages = {107-116},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}