@inproceedings{porada-cheung-2023-mcgill,
    title = "{M}c{G}ill at {CRAC} 2023: Multilingual Generalization of Entity-Ranking Coreference Resolution Models",
    author = "Porada, Ian  and
      Cheung, Jackie Chi Kit",
    editor = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2023.crac-sharedtask.5/",
    doi = "10.18653/v1/2023.crac-sharedtask.5",
    pages = "52--57",
    abstract = "Our submission to the CRAC 2023 shared task, described herein, is an adapted entity-ranking model jointly trained on all 17 datasets spanning 12 languages. Our model outperforms the shared task baselines by a difference in F1 score of +8.47, achieving an ultimate F1 score of 65.43 and fourth place in the shared task. We explore design decisions related to data preprocessing, the pretrained encoder, and data mixing."
}