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1
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : Association for Computational Linguistics, 2012
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2
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ...
Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009
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3
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ...
Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009
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4
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2009
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5
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets
Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2009
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6
An Approach to Reducing Annotation Costs for BioNLP ...
Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2008
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7
An Approach to Reducing Annotation Costs for BioNLP
Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2008
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8
FIASCO: Filtering the Internet by automatic subtree classification, Osnabrück
In: http://www.bcs.rochester.edu/people/jdegen/docs/BauerEtAl2007_FIASCO.pdf (2007)
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9
Analysis of Statistical Question Classification for Fact-based Questions
In: http://ciir.cs.umass.edu/pubfiles/ir-323.pdf (2004)
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