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TSLP
2010
87views more  TSLP 2010»
13 years 3 months ago
Confidence-based stopping criteria for active learning for data annotation
Jingbo Zhu, Huizhen Wang, Eduard H. Hovy, Matthew ...
COLING
2008
13 years 6 months ago
Stopping Criteria for Active Learning of Named Entity Recognition
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
Florian Laws, Hinrich Schütze
SDM
2010
SIAM
218views Data Mining» more  SDM 2010»
13 years 6 months ago
Confidence-Based Feature Acquisition to Minimize Training and Test Costs
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...
LREC
2008
78views Education» more  LREC 2008»
13 years 6 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn