Quality-efficiency trade-offs in machine learning for text processing.
Ricardo Baeza-YatesZeinab LiaghatPublished in: IEEE BigData (2017)
Keyphrases
- text processing
- machine learning
- trade off
- natural language processing
- text mining
- information extraction
- high quality
- field of natural language processing
- machine learning methods
- information retrieval
- pattern recognition
- cost effectiveness
- artificial intelligence
- knowledge representation
- scientific information
- supervised learning
- semantic classes
- information systems
- text classification
- search quality
- inductive learning
- quality measures
- data analysis
- evolutionary algorithm
- linguistic analysis
- document processing
- explanation based learning
- high efficiency
- low quality
- computational complexity
- learning systems
- wordnet
- feature selection
- natural language
- active learning