4 search results - page 1 / 1 » Instance Weighting for Domain Adaptation in NLP |
ACL
2007
13 years 6 months ago
2007
Domain adaptation is an important problem in natural language processing (NLP) due to the lack of labeled data in novel domains. In this paper, we study the domain adaptation prob...
EMNLP
2010
13 years 2 months ago
2010
We describe a new approach to SMT adaptation that weights out-of-domain phrase pairs according to their relevance to the target domain, determined by both how similar to it they a...
ECIR
2011
Springer
12 years 8 months ago
2011
Springer
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
IR
2006
13 years 4 months ago
2006
Technical term translations are important for cross-lingual information retrieval. In many languages, new technical terms have a common origin rendered with different spelling of ...