1 |
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
|
|
|
|
BASE
|
|
Show details
|
|
2 |
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets
|
|
|
|
BASE
|
|
Show details
|
|
8 |
FIASCO: Filtering the Internet by automatic subtree classification, Osnabrück
|
|
|
|
In: http://www.bcs.rochester.edu/people/jdegen/docs/BauerEtAl2007_FIASCO.pdf (2007)
|
|
BASE
|
|
Show details
|
|
9 |
Analysis of Statistical Question Classification for Fact-based Questions
|
|
|
|
In: http://ciir.cs.umass.edu/pubfiles/ir-323.pdf (2004)
|
|
BASE
|
|
Show details
|
|
|
|