32 search results - page 4 / 7 » Active Learning and the Total Cost of Annotation |
ACL
2004
13 years 8 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...
FOIKS
2008
Springer
14 years 4 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
LREC
2010
13 years 9 months ago
2010
Expert human input can contribute in various ways to facilitate automatic annotation of natural language text. For example, a part-of-speech tagger can be trained on labeled input...