Measuring Intersectional Biases in Historical Documents

Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Käfer, Natalia da Silva Perez, Isabelle Augenstein. Measuring Intersectional Biases in Historical Documents. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 2711-2730, Association for Computational Linguistics, 2023. [doi]

@inproceedings{BorensteinSRKPA23,
  title = {Measuring Intersectional Biases in Historical Documents},
  author = {Nadav Borenstein and Karolina Stanczak and Thea Rolskov and Natacha Klein Käfer and Natalia da Silva Perez and Isabelle Augenstein},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.170},
  researchr = {https://researchr.org/publication/BorensteinSRKPA23},
  cites = {0},
  citedby = {0},
  pages = {2711-2730},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}