An Attention-Based BiLSTM-CRF Model for Chinese Clinic Named Entity Recognition.
Guohua WuGuangen TangZhongru WangZhen ZhangZhen WangPublished in: IEEE Access (2019)
Keyphrases
- named entity recognition
- conditional random fields
- crf model
- text summarization
- sequence labeling
- information extraction
- maximum entropy
- hidden markov models
- graphical models
- random fields
- markov random field
- higher order
- natural language processing
- probabilistic model
- named entities
- semi supervised
- annotated corpus
- pairwise
- relation extraction
- superpixels
- generative model
- maximum entropy classifier
- structured prediction
- classifier ensemble
- word segmentation
- segmentation method
- non stationary
- model selection
- image database
- active learning
- prior knowledge
- multiscale
- decision trees
- image processing
- computer vision