Dimensionality Reduction for Machine Learning-based Argument Mining.
Andrés Segura-TinocoIván CantadorPublished in: ArgMining@EMNLP (2023)
Keyphrases
- dimensionality reduction
- machine learning
- data mining
- text mining
- feature selection
- pattern recognition
- knowledge discovery
- high dimensional
- data representation
- explanation based learning
- feature extraction
- low dimensional
- machine learning methods
- sequential patterns
- inductive logic programming
- mining algorithm
- data points
- active learning
- structure preserving
- decision trees
- computer vision
- random projections
- dimensionality reduction methods
- manifold learning
- pattern recognition and machine learning
- high dimensional data
- learning systems
- computer science
- data analysis
- natural language processing
- artificial intelligence
- multidimensional scaling
- knowledge representation
- supervised learning
- principal component analysis
- text classification
- itemsets
- high dimensionality
- linear discriminant analysis
- learning problems
- kernel methods
- statistical methods
- semi supervised learning