45 citations · 126 across the 10 of their papers we have counts for
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cs.LG2021★ 1 cited
Sample Efficient Model Evaluation
Emine Yilmaz, Peter Hayes, Raza Habib +2
Labelling data is a major practical bottleneck in training and testing classifiers. Given a collection of unlabelled data points, we address how to select which subset to label to…
cs.CL2021★ 1 cited
Locally-Contextual Nonlinear CRFs for Sequence Labeling
Harshil Shah, Tim Xiao, David Barber
Linear chain conditional random fields (CRFs) combined with contextual word embeddings have achieved state of the art performance on sequence labeling tasks. In many of these tasks…