Evaluation of machine learning-based information extraction algorithms: criticisms and recommendations.
Alberto LavelliMary Elaine CaliffFabio CiravegnaDayne FreitagClaudio GiulianoNicholas KushmerickLorenza RomanoNeil IresonPublished in: Lang. Resour. Evaluation (2008)
Keyphrases
- machine learning
- information extraction
- learning algorithm
- evaluation metrics
- natural language processing
- precision and recall
- orders of magnitude
- theoretical analysis
- text mining
- computer vision
- reinforcement learning
- artificial intelligence
- feature selection
- machine learning methods
- machine learning algorithms
- computational intelligence
- active learning
- data structure
- significant improvement
- recommender systems
- lower bound
- benchmark datasets
- question answering
- computer science
- computational complexity
- times faster
- learning tasks
- knowledge base
- machine learning systems