116 citations · 292 across the 15 of their papers we have counts for
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cs.CL2019★ 16 cited
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models
Lizhen Liang, Daniel E. Acuna
Detecting biases in artificial intelligence has become difficult because of the impenetrable nature of deep learning. The central difficulty is in relating unobservable phenomena d…
cs.DL2019★ 5 cited
The effect of novelty on the future impact of scientific grants
Han Zhuang, Daniel E. Acuna
Government funding agencies and foundations tend to perceive novelty as necessary for scientific impact and hence prefer to fund novel instead of incremental projects. Evidence lin…
cs.CL2019
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
Titipat Achakulvisut, Chandra Bhagavatula, Daniel Acuna +1
Claims are a fundamental unit of scientific discourse. The exponential growth in the number of scientific publications makes automatic claim extraction an important problem for res…