22 search results - page 2 / 5 » Domain Adaptation with Active Learning for Word Sense Disamb... |
BMCBI
2006
13 years 5 months ago
2006
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
BICOB
2011
Springer
12 years 5 months ago
2011
Springer
EMNLP
2007
13 years 6 months ago
2007
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
ACL
2003
13 years 6 months ago
2003
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...
ACL
2010
13 years 2 months ago
2010
In spite of decades of research on word sense disambiguation (WSD), all-words general purpose WSD has remained a distant goal. Many supervised WSD systems have been built, but the...