Fetching the paper…
Reading the bibliography…
At the Workshop on Gender Bias in NLP (GeBNLP), we'd like to encourage authors to give explicit consideration to the wider aspects of bias and its social implications.
Automatically identifying gender issues in machine translation using perturbations
Gonen, H. and Webster, K. (2020) · 1995
Earlier work this paper cites.
Language (technology) is power: A critical survey of “bias” in NLP
Blodgett, S. L., Barocas, S., Daumé III, H., and Wallach, H. (2020) · 2020
Cited alongside, same era.
The confidence gap predicts the gender pay gap among stem graduates
Sterling, A. D., Thompson, M. E., Wang, S., Kusimo, A., Gilmartin, S., and Sheppard, S. (2020) · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…