Enhancing Biomedical Named Entity Classification Using Terabyte Unlabeled Data.
Yanpeng LiHongfei LinZhihao YangPublished in: AIRS (2008)
Keyphrases
- co training
- named entities
- unlabeled data
- text classification
- semi supervised learning
- labeled data
- semi supervised
- labeled and unlabeled data
- semi supervised classification
- supervised learning
- information extraction
- class labels
- text mining
- improve the classification accuracy
- named entity recognition
- unsupervised learning
- supervised learning algorithms
- training set
- machine learning
- multi view
- relation extraction
- labeled examples
- active learning
- training data
- natural language processing
- question answering
- co occurrence
- classification accuracy
- annotated corpus
- text documents
- single view
- labeled instances
- training examples
- decision boundary
- text categorization
- weakly supervised
- feature selection
- document clustering
- feature set
- data points
- prior knowledge
- feature vectors
- object recognition
- decision trees