4 citations · 7 across the 4 of their papers we have counts for
4 papers
MABEL: Attenuating Gender Bias using Textual Entailment Data
Jacqueline He, Mengzhou Xia, Christiane Fellbaum +1
Pre-trained language models encode undesirable social biases, which are further exacerbated in downstream use. To this end, we propose MABEL (a Method for Attenuating Gender Bias u…
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…
The Compositional Nature of Event Representations in the Human Brain
Andrei Barbu, N. Siddharth, Caiming Xiong +10
How does the human brain represent simple compositions of constituents: actors, verbs, objects, directions, and locations? Subjects viewed videos during neuroimaging (fMRI) session…
The Compositional Nature of Verb and Argument Representations in the Human Brain
Andrei Barbu, N. Siddharth, Caiming Xiong +10
How does the human brain represent simple compositions of objects, actors,and actions? We had subjects view action sequence videos during neuroimaging (fMRI) sessions and identifie…