@inproceedings{goto-etal-2025-gec,
    title = "gec-metrics: A Unified Library for Grammatical Error Correction Evaluation",
    author = "Goto, Takumi  and
      Sakai, Yusuke  and
      Watanabe, Taro",
    editor = "Mishra, Pushkar  and
      Muresan, Smaranda  and
      Yu, Tao",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.acl-demo.50/",
    doi = "10.18653/v1/2025.acl-demo.50",
    pages = "524--534",
    ISBN = "979-8-89176-253-4",
    abstract = "We introduce gec-metrics, a library for using and developing grammatical error correction (GEC) evaluation metrics through a unified interface. Our library enables fair system comparisons by ensuring that everyone conducts evaluations using a consistent implementation. Moreover, it is designed with a strong focus on API usage, making it highly extensible. It also includes meta-evaluation functionalities and provides analysis and visualization scripts, contributing to developing GEC evaluation metrics. Our code is released under the MIT license$^1$ and is also distributed as an installable package$^2$. The video is available at YouTube$^3$.$^1$GitHub: https://github.com/gotutiyan/gec-metrics$^2$PyPi: https://pypi.org/project/gec-metrics/$^3$Video: https://youtu.be/cor6dkN6EfI"
}