Abstract: Demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are currently emerging towards fairer natural language processing in terms of gender.
Bioinfo4Women seminars / VIRTUAL BSC RS 2020
Venue: Online seminar - Zoom
Time: 11.30 (CEST)
Gender Bias and Natural Language Processing
Marta R. Costa-jussà
is a Ramon y Cajal Researcher at the Universitat Politècnica de Catalunya (UPC, Barcelona).