Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF.
Qifeng LouShutong WangJiahao ChenDongmei MuYing WangLili HuangPublished in: BIBM (2023)
Keyphrases
- named entity recognition
- conditional random fields
- traditional chinese medicine
- information extraction
- named entities
- natural language processing
- maximum entropy
- semi supervised
- sequence labeling
- text summarization
- relation extraction
- text mining
- hidden markov models
- annotated corpus
- pairwise
- classifier ensemble
- crf model
- graphical models
- maximum entropy classifier
- markov random field
- co occurrence
- probabilistic model
- data mining
- databases
- knowledge base