Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training.
Yao ChenChangjiang ZhouTianxin LiHong WuXia ZhaoKai YeJun LiaoPublished in: J. Biomed. Informatics (2019)
Keyphrases
- named entity recognition
- text summarization
- conditional random fields
- natural language processing
- information extraction
- named entities
- maximum entropy
- structured prediction
- sequence labeling
- linguistic features
- semi supervised
- relation extraction
- classifier ensemble
- wordnet
- probabilistic model
- pairwise
- annotated corpus
- semantic role labeling
- supervised learning
- text mining
- training set
- word sense disambiguation
- question answering
- domain specific
- higher order
- hidden markov models
- semantic relations
- information retrieval
- generative model
- knowledge representation
- crf model
- expert systems