46 citations · 52 across the 2 of their papers we have counts for
2 papers
cs.CL2017★ 46 cited
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
Active learning aims to select a small subset of data for annotation such that a classifier learned on the data is highly accurate. This is usually done using heuristic selection m…
cs.CL2016★ 6 cited
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
Meng Fang, Trevor Cohn
Cross lingual projection of linguistic annotation suffers from many sources of bias and noise, leading to unreliable annotations that cannot be used directly. In this paper, we int…