most citedQuantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2021★ 2 cited

Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff

Mitchell Naylor, Christi French, Samantha Terker +1

The healthcare domain is one of the most exciting application areas for machine learning, but a lack of model transparency contributes to a lag in adoption within the industry. In…