An analysis of gender bias studies in natural language processing

Cita com:
hdl:2117/346419
Document typeArticle
Defense date2019-10-14
PublisherSpringer Science and Business Media LLC
Rights accessOpen Access
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Abstract
Artificial intelligence systems copy and amplify existing societal biases, a problem that by now is widely acknowledged and studied. But is current research of gender bias in natural language processing actually moving towards a resolution.
CitationCosta-jussà, M.R. An analysis of gender bias studies in natural language processing. "Nature machine intelligence", 14 Octubre 2019, vol. 1, p. 495-496.
ISSN2522-5839
Publisher versionhttps://www.nature.com/articles/s42256-019-0105-5
Other identifiershttps://rdcu.be/bUgg6
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Marta Ruiz Gender Bias in NLP Final_VM.pdf | 156,6Kb | View/Open |