55 search results - page 1 / 11 » Assessing the Costs of Sampling Methods in Active Learning f... |
ACL
2008
13 years 5 months ago
2008
Traditional Active Learning (AL) techniques assume that the annotation of each datum costs the same. This is not the case when annotating sequences; some sequences will take longe...
LREC
2008
13 years 5 months ago
2008
Fixed, limited budgets often constrain the amount of expert annotation that can go into the construction of annotated corpora. Estimating the cost of annotation is the first step ...
EMNLP
2009
13 years 2 months ago
2009
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
NAACL
2004
13 years 5 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
COLING
2010
12 years 11 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...