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cs.CL2020
Examining the rhetorical capacities of neural language models
Zining Zhu, Chuer Pan, Mohamed Abdalla +1
Recently, neural language models (LMs) have demonstrated impressive abilities in generating high-quality discourse. While many recent papers have analyzed the syntactic aspects enc…
cs.CL2020★ 29 cited
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Haoran Zhang, Amy X. Lu, Mohamed Abdalla +2
In this work, we examine the extent to which embeddings may encode marginalized populations differently, and how this may lead to a perpetuation of biases and worsened performance…