LSTM-CRF for Drug-Named Entity Recognition.
Donghuo ZengChengjie SunLei LinBingquan LiuPublished in: Entropy (2017)
Keyphrases
- named entity recognition
- conditional random fields
- information extraction
- maximum entropy
- natural language processing
- named entities
- sequence labeling
- recurrent neural networks
- text summarization
- relation extraction
- probabilistic model
- graphical models
- crf model
- semi supervised
- markov random field
- pairwise
- hand coded
- higher order
- hidden markov models
- generative model
- annotated corpus
- proper names
- structured prediction
- information retrieval
- classifier ensemble
- superpixels
- machine learning
- active learning
- computer vision
- chinese named entity recognition