7 search results - page 1 / 2 » Stopping Criteria for Active Learning of Named Entity Recogn... |
COLING
2008
14 years 18 days ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
ACL
2004
14 years 17 days 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 11 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...
IJAIT
2007
13 years 11 months ago
2007
KCAP
2009
ACM
14 years 5 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...