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

Date: 29/06/2020

Time: 11.30 (CEST)

Host: Barcelona Supercomputing Center

Gender Bias and Natural Language Processing


Marta R. Costa-jussà

is a Ramon y Cajal Researcher at the Universitat Politècnica de Catalunya (UPC, Barcelona).

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