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Instructions for using the bibliography template
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S. Kim, Y. Song, K. Kim, J.-W. Cha, and G. G. Lee. 2006.
Mmr-based active machine learning for bio named entity
recognition. In HLT/NAACL
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Part-of-Speech Tagging
Active Learning
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“Toward Optimal Active Learning through Sampling Estimation of Error Reduction” – Nichols Roy, Andrew McCallum
“Active Learning for Statistical Natural Language Parsing” – Min Tang, Xiaoqiang Luo, Salim Roukos
Query by Uncertainty. Lewis & Catleett, 1994
Schohn & Cohn, 2000
Pierce & Cardie, 2003
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A. McCallum and K. Nigam.1998. Employing EM and pool-based active learning for text classification. In Proc. of ICML.
A Weakly Supervised Learning Approach for Spoken Language Understanding
Wei-Lin Wu, Ru-Zhan Lu, Jian-Yong Duan, Hui Liu, Feng Gao, Yu-Quan Chen. EMNLP 2006.
Cohn, D. A., Ghahramani, Z., & Jordan, M. I. (1996). Active learning with statistical models. Journal of Artificial Intelligence Research, 4, 129–145.(“Statistically Optimal”)
Whitehead, 1991 “Whitehead [Whi91] showed that random exploration in a deterministic world was yields a learning time that is exponential in the number of states. Thrun [Thr92] showed that directed exploration can learn in time that is polynomial in the number of states for deterministic environments.”
Linden & Weber, 1993
Schmidhuber \& Storch, 1993
Query by Uncertainty or QBU (Thrun \& Moller, 1992)
Theory of optimal experiments V.V. Fedorov 1972 Academic press
On a measure of the information provided by an experiment', D.V.Lindley 1956 Ann. Math. Statist. 27, 986-1005
Claimed
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