@inproceedings{lin-ng-2021-system,
    title = "System Combination for Grammatical Error Correction Based on Integer Programming",
    author = "Lin, Ruixi  and
      Ng, Hwee Tou",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)",
    month = sep,
    year = "2021",
    address = "Held Online",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2021.ranlp-1.94/",
    pages = "824--829",
    abstract = "In this paper, we propose a system combination method for grammatical error correction (GEC), based on nonlinear integer programming (IP). Our method optimizes a novel F score objective based on error types, and combines multiple end-to-end GEC systems. The proposed IP approach optimizes the selection of a single best system for each grammatical error type present in the data. Experiments of the IP approach on combining state-of-the-art standalone GEC systems show that the combined system outperforms all standalone systems. It improves F0.5 score by 3.61{\%} when combining the two best participating systems in the BEA 2019 shared task, and achieves F0.5 score of 73.08{\%}. We also perform experiments to compare our IP approach with another state-of-the-art system combination method for GEC, demonstrating IP`s competitive combination capability."
}