Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation.
Van-Nam HuynhNguyen Thanh TriCuong Anh LePublished in: Comput. Speech Lang. (2010)
Keyphrases
- word sense disambiguation
- dempster shafer theory
- combination rule
- classifier combination
- wordnet
- belief functions
- natural language processing
- machine translation
- fusion algorithm
- feature set
- information extraction
- machine learning methods
- semantic similarity
- similarity measure
- word sense
- training data
- dempster shafer
- decision trees
- highly ambiguous
- unsupervised word sense disambiguation
- part of speech
- expert systems
- support vector
- sense disambiguation