Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung. Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 1019-1030, Association for Computational Linguistics, 2022. [doi]

@inproceedings{LeeYPLJ22,
  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},
  url = {https://aclanthology.org/2022.findings-naacl.76},
  researchr = {https://researchr.org/publication/LeeYPLJ22},
  cites = {0},
  citedby = {0},
  pages = {1019-1030},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-76-6},
}