Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

Understand

Dialogue systems play an increasingly important role in various aspects of our daily life.

• It is evident from recent research that dialogue systems trained on human conversation data are biased.
• In particular, they can produce responses that reflect people's gender prejudice.
• Many debiasing methods have been developed for various NLP tasks, such as word embedding.