4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 4 cited
Mitigating Gender Bias in Machine Translation through Adversarial Learning
Eve Fleisig, Christiane Fellbaum
Machine translation and other NLP systems often contain significant biases regarding sensitive attributes, such as gender or race, that worsen system performance and perpetuate har…
cs.CL2020
Sentiment Analysis for Reinforcement Learning
Ameet Deshpande, Eve Fleisig
While reinforcement learning (RL) has been successful in natural language processing (NLP) domains such as dialogue generation and text-based games, it typically faces the problem…