9 citations · 33 across the 11 of their papers we have counts for
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cs.CL2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani +4
State-of-the-art models in NLP are now predominantly based on deep neural networks that are opaque in terms of how they come to make predictions. This limitation has increased inte…
cs.CL2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials
Eric Lehman, Jay DeYoung, Regina Barzilay +1
How do we know if a particular medical treatment actually works? Ideally one would consult all available evidence from relevant clinical trials. Unfortunately, such results are pri…