BriefGPT.xyz
Apr, 2015
基于预测稳定性的主动学习停止分析
Analysis of Stopping Active Learning based on Stabilizing Predictions
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Michael Bloodgood, John Grothendieck
TL;DR
这篇论文首次对基于稳定预测的主动学习进行了理论分析,并揭示了该方法成功的三个关键因素: Cohen的Kappa一致性、未标记的停用集和Kappa样本估计。
Abstract
Within the
natural language processing
(NLP) community,
active learning
has been widely investigated and applied in order to alleviate the annotation bottleneck faced by developers of new NLP systems and technolo
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