ACL
2008
14 years 1 months ago
2008
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
ALT
2009
Springer
14 years 3 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
PKDD
2007
Springer
14 years 6 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
SIGMOD
2008
ACM
15 years 18 days ago
2008
ACM
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of exis...