Nine Features in a Random Forest to Learn Taxonomical Semantic Relations.
Enrico SantusAlessandro LenciTin-Shing ChiuQin LuChu-Ren HuangPublished in: CoRR (2016)
Keyphrases
- random forest
- semantic relations
- feature set
- co occurrence
- random forests
- wordnet
- feature importance
- ensemble methods
- classification accuracy
- decision trees
- word pairs
- feature space
- feature extraction
- feature vectors
- image features
- natural language processing
- benchmark datasets
- ensemble classifier
- artificial intelligence
- web pages
- image segmentation
- multi label
- high dimensional
- prior knowledge