Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems.
Georgios PetasisFrantz VichotFrancis WolinskiGeorgios PaliourasVangelis KarkaletsisConstantine D. SpyropoulosPublished in: ACL (2001)
Keyphrases
- classification systems
- named entity recognition
- information extraction
- machine learning
- natural language processing
- named entities
- conditional random fields
- text summarization
- text mining
- sequence labeling
- semi supervised
- maximum entropy
- relation extraction
- machine learning methods
- multiple classifier systems
- hierarchical text classification
- natural language
- proper names
- learning algorithm
- expert systems
- computer vision
- maximum entropy classifier
- classifier ensemble
- annotated corpus
- wordnet
- knowledge representation
- probabilistic model
- active learning
- pattern recognition
- decision trees
- artificial intelligence
- question answering
- unsupervised learning
- model selection
- data analysis
- data mining