Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function

2 code implementations • ACL 2019 • Yusu Qian, Urwa Muaz, Ben Zhang, Jae Won Hyun

Finally, we introduce a combination of data augmentation and our approach, and show that it outperforms existing strategies in all bias evaluation metrics.

Data Augmentation Text Generation