72 citations · 130 across the 4 of their papers we have counts for
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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.CL2017★ 6 cited
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary
Meng Fang, Trevor Cohn
Cross-lingual model transfer is a compelling and popular method for predicting annotations in a low-resource language, whereby parallel corpora provide a bridge to a high-resource…