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- University of TorontoCA238 papers
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Showing 2020 · cs.CLShow all
3 papers · 2 filters
cs.CL2020★ 1 cited
Showing Your Work Doesn't Always Work
Raphael Tang, Jaejun Lee, Ji Xin +3
In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks. One exemplar publication, titled "Show Your…
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…
cs.CL2020★ 10 cited
Unsupervised Multilingual Alignment using Wasserstein Barycenter
Xin Lian, Kshitij Jain, Jakub Truszkowski +2
We study unsupervised multilingual alignment, the problem of finding word-to-word translations between multiple languages without using any parallel data. One popular strategy is t…