Weighted combination of classifiers for word sense disambiguation based on dempster-shafer theory.
Anh-Cuong LeVan-Nam HuynhAkira ShimazuHieu-Chi DamPublished in: RIVF (2006)
Keyphrases
- word sense disambiguation
- dempster shafer theory
- combination rule
- classifier combination
- wordnet
- belief functions
- natural language processing
- feature set
- part of speech
- machine translation
- fusion algorithm
- dempster shafer
- machine learning methods
- highly ambiguous
- evidence theory
- information extraction
- training data
- sense disambiguation
- machine learning
- unsupervised word sense disambiguation
- word sense
- information fusion
- decision trees
- feature selection
- combining multiple
- semantic relations
- semantic similarity
- semantic information
- image processing