A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition.
Eonseok ShinTsendsuren MunkhdalaiMeijing LiIncheon PaikKeun Ho RyuPublished in: ICHIT (1) (2012)
Keyphrases
- named entity recognition
- selection criterion
- information extraction
- semi supervised
- named entities
- model selection
- natural language processing
- mutual information
- genia corpus
- text summarization
- variable selection
- relation extraction
- feature selection
- maximum entropy
- text mining
- semi supervised learning
- objective function
- conditional random fields
- training set
- labeled data
- learning algorithm
- feature selection algorithms
- generative model
- decision trees
- annotated corpus
- support vector machine
- maximum entropy classifier
- machine learning
- information retrieval
- high dimensional
- probabilistic model
- prior knowledge
- question answering
- similarity measure
- reinforcement learning
- data analysis
- named entity disambiguation