Funder
AGAUR
the European Regional Development Fund and the Agencia Estatal de Investigación
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference36 articles.
1. Basta C, Costa-jussà MR, Casas N (2019) Evaluating the underlying gender bias in contextualized word embeddings. arXiv:190408783
2. Blodgett SL, Barocas S, Daumé III H, Wallach H (2020) Language (technology) is power: a critical survey of “bias” in NLP. In: Proceedings of the 58th annual meeting of the association for computational linguistics, pp 5454–5476
3. Bolukbasi T, Chang KW, Zou JY, Saligrama V, Kalai AT (2016) Man is to computer programmer as woman is to homemaker? debiasing word embeddings. In: Lee DD, Sugiyama M, Luxburg UV, Guyon I, Garnett R (eds) Advances in Neural Information Processing Systems 29, Curran Associates, Inc., pp 4349–4357
4. Costa-jussà MR (2019) An analysis of gender bias studies in natural language processing. Nature Machine Intelligence 1
5. Dev S, Li T, Phillips J, Srikumar V (2019) On measuring and mitigating biased inferences of word embeddings. arXiv:1908.09369
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献