@inproceedings{kwako-etal-2022-using,
    title = "Using Item Response Theory to Measure Gender and Racial Bias of a {BERT}-based Automated {E}nglish Speech Assessment System",
    author = "Kwako, Alexander  and
      Wan, Yixin  and
      Zhao, Jieyu  and
      Chang, Kai-Wei  and
      Cai, Li  and
      Hansen, Mark",
    editor = {Kochmar, Ekaterina  and
      Burstein, Jill  and
      Horbach, Andrea  and
      Laarmann-Quante, Ronja  and
      Madnani, Nitin  and
      Tack, Ana{\"i}s  and
      Yaneva, Victoria  and
      Yuan, Zheng  and
      Zesch, Torsten},
    booktitle = "Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)",
    month = jul,
    year = "2022",
    address = "Seattle, Washington",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/moar-dois/2022.bea-1.1/",
    doi = "10.18653/v1/2022.bea-1.1",
    pages = "1--7"
}