Reducing Semantic Drift with Bagging and Distributional Similarity.
Tara McIntoshJames R. CurranPublished in: ACL/IJCNLP (2009)
Keyphrases
- semantic annotation
- ensemble methods
- high level
- machine learning
- learning algorithm
- semantic knowledge
- decision trees
- ensemble learning
- semantic network
- random forests
- semantic similarity
- training set
- semantic information
- domain knowledge
- random forest
- semantic analysis
- feature selection
- neural network ensembles
- data sets
- concept drift
- image retrieval
- weak classifiers
- majority voting
- semantic description