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Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets
Michael Bloodgood
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K. Vijay-Shanker
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Paper Details:
Month: June
Year: 2009
Location: Boulder, Colorado
Venue:
NAACL |
Citations
URL
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
Michael Bloodgood
|
Chris Callison-Burch
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Using Mechanical Turk to Build Machine Translation Evaluation Sets
Michael Bloodgood
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Chris Callison-Burch
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Analysis of Stopping Active Learning based on Stabilizing Predictions
Michael Bloodgood
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John Grothendieck
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No URLs Found
Field Of Study
Task
Relation Extraction
Language
English
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