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» Domain Adaptation for Statistical Classifiers
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JAIR
2006
110views more  JAIR 2006»
13 years 4 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
ML
2010
ACM
135views Machine Learning» more  ML 2010»
12 years 11 months ago
Multi-domain learning by confidence-weighted parameter combination
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...
Mark Dredze, Alex Kulesza, Koby Crammer
COLING
2008
13 years 6 months ago
Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora
tra Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual text. In this paper, we propose a method to perform domain adapta...
Hua Wu, Haifeng Wang, Chengqing Zong