@inproceedings{fei-etal-2023-enhancing,
    title = "Enhancing Grammatical Error Correction Systems with Explanations",
    author = "Fei, Yuejiao  and
      Cui, Leyang  and
      Yang, Sen  and
      Lam, Wai  and
      Lan, Zhenzhong  and
      Shi, Shuming",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.413",
    doi = "10.18653/v1/2023.acl-long.413",
    pages = "7489--7501",
    abstract = "Grammatical error correction systems improve written communication by detecting and correcting language mistakes. To help language learners better understand why the GEC system makes a certain correction, the causes of errors (evidence words) and the corresponding error types are two key factors. To enhance GEC systems with explanations, we introduce EXPECT, a large dataset annotated with evidence words and grammatical error types. We propose several baselines and anlysis to understand this task. Furthermore, human evaluation verifies our explainable GEC system{'}s explanations can assist second-language learners in determining whether to accept a correction suggestion and in understanding the associated grammar rule.",
}

Grammatical error correction systems improve written communication by detecting and correcting language mistakes. To help language learners better understand why the GEC system makes a certain correction, the causes of errors (evidence words) and the corresponding error types are two key factors. To enhance GEC systems with explanations, we introduce EXPECT, a large dataset annotated with evidence words and grammatical error types. We propose several baselines and anlysis to understand this task. Furthermore, human evaluation verifies our explainable GEC system{'}s explanations can assist second-language learners in determining whether to accept a correction suggestion and in understanding the associated grammar rule.
Fei, Yuejiao Cui, Leyang Yang, Sen Lam, Wai Lan, Zhenzhong Shi, Shuming
Enhancing Grammatical Error Correction Systems with Explanations