5860 search results - page 1 / 1172 » Learning and Domain Adaptation |
EMNLP
2008
13 years 8 months ago
2008
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
ACL
2007
13 years 8 months ago
2007
When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance...
ALT
2009
Springer
13 years 10 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...
COLT
2008
Springer
13 years 8 months ago
2008
Springer
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
ML
2010
ACM
13 years 1 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...