5 search results - page 1 / 1 » Reducing class imbalance during active learning for named en... |
KCAP
2009
ACM
13 years 11 months ago
2009
ACM
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
BMCBI
2008
13 years 5 months ago
2008
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
ACL
2004
13 years 6 months ago
2004
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
CSL
2008
Springer
13 years 4 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
CVPR
2010
IEEE
14 years 24 days ago
2010
IEEE
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...