136 citations · 331 across the 19 of their papers we have counts for
3 papers · 1 filter
Challenging common interpretability assumptions in feature attribution explanations
Jonathan Dinu, Jeffrey Bigham, J. Zico Kolter
As machine learning and algorithmic decision making systems are increasingly being leveraged in high-stakes human-in-the-loop settings, there is a pressing need to understand the r…
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Kundan Krishna, Amy Pavel, Benjamin Schloss +2
Despite diverse efforts to mine various modalities of medical data, the conversations between physicians and patients at the time of care remain an untapped source of insights. In…
Combining Independent Modules in Lexical Multiple-Choice Problems
Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1
Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be best…