Nine Features in a Random Forest to Learn Taxonomical Semantic Relations.
Enrico SantusAlessandro LenciTin-Shing ChiuQin LuChu-Ren HuangPublished in: LREC (2016)
Keyphrases
- random forest
- semantic relations
- feature set
- co occurrence
- feature importance
- random forests
- feature extraction
- decision trees
- wordnet
- natural language processing
- word pairs
- feature vectors
- active learning
- feature space
- decision tree learning algorithms
- dependency relations
- artificial intelligence
- semantic relationships
- multi label
- benchmark datasets
- knn
- feature selection