LIPN-IIMAS at SemEval-2016 Task 1: Random Forest Regression Experiments on Align-and-Differentiate and Word Embeddings penalizing strategies.
Oscar William Lightgow SerranoIván Vladimir Meza RuízAlbert Manuel Orozco CamachoJorge García FloresDavide BuscaldiPublished in: SemEval@NAACL-HLT (2016)
Keyphrases
- random forest
- word sense disambiguation
- random forests
- decision trees
- feature set
- ensemble methods
- multi label
- fold cross validation
- ensemble learning
- low dimensional
- base classifiers
- data sets
- feature selection
- feature importance
- decision tree learning algorithms
- rotation forest
- optimization method
- dimensionality reduction
- co occurrence
- natural language processing
- similarity measure
- face recognition
- data mining