TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach.
Arun Kumar JayapalMartin EmmsJohn D. KelleherPublished in: SemEval@COLING (2014)
Keyphrases
- dimensionality reduction
- information retrieval
- high dimensional data
- data representation
- structure preserving
- principal component analysis
- linear discriminant analysis
- pattern recognition and machine learning
- high dimensionality
- high dimensional
- low dimensional
- principal components
- feature extraction
- pattern recognition
- text retrieval
- query expansion
- nonlinear dimensionality reduction
- dimensionality reduction methods
- retrieval effectiveness
- neural network
- natural language generation
- manifold learning
- natural language
- feature space
- information retrieval systems
- evaluation measures
- retrieval model
- feature selection