150 search results - page 2 / 30 » Four Methods for Supervised Word Sense Disambiguation |
AAAI
2006
13 years 6 months ago
2006
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
COLING
2008
13 years 6 months ago
2008
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...
IMCSIT
2010
13 years 2 months ago
2010
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
ACL
1997
13 years 6 months ago
1997
We compare four similarity-based estimation methods against back-off and maximum-likelihood estimation methods on a pseudo-word sense disambiguation task in which we controlled f...