@inproceedings{sheppard-etal-2024-biasly,
    title = "Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation",
    author = "Sheppard, Brooklyn  and
      Richter, Anna  and
      Cohen, Allison  and
      Smith, Elizabeth  and
      Kneese, Tamara  and
      Pelletier, Carolyne  and
      Baldini, Ioana  and
      Dong, Yue",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2024",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.findings-acl.24/",
    doi = "10.18653/v1/2024.findings-acl.24",
    pages = "427--452"
}