Quality-Efficiency Trade-offs in Machine Learning for Text Processing.
Ricardo Baeza-YatesZeinab LiaghatPublished in: CoRR (2017)
Keyphrases
- text processing
- machine learning
- trade off
- natural language processing
- text mining
- information extraction
- high quality
- higher quality
- field of natural language processing
- scientific information
- low quality
- quality measures
- computational complexity
- natural language
- decision trees
- machine learning methods
- data mining
- entity extraction
- linguistic analysis
- quality assessment
- pattern recognition
- computational efficiency
- wordnet
- machine learning algorithms
- learning systems
- active learning
- knowledge acquisition
- text classification
- computational intelligence
- information systems
- computer vision
- scientific literature
- search quality
- co occurrence
- semantic classes
- data analysis
- search engine
- support vector machine