CRF-based Active Learning for Chinese Named Entity Recognition.
Lin YaoChengjie SunShaofeng LiXiaolong WangXuan WangPublished in: SMC (2009)
Keyphrases
- chinese named entity recognition
- active learning
- named entity recognition
- conditional random fields
- named entities
- semi supervised
- information extraction
- learning strategies
- machine learning
- selective sampling
- supervised learning
- graphical models
- markov random field
- learning algorithm
- natural language processing
- random sampling
- pairwise
- training set
- crf model
- labeled data
- semantic segmentation
- learning process
- training examples
- parameter learning
- pool based active learning
- semi supervised learning
- hidden markov models
- maximum entropy
- transfer learning
- fully connected
- batch mode
- higher order
- co occurrence
- artificial intelligence
- imbalanced data classification
- segmentation method
- superpixels
- unsupervised learning