Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition.
Kai XuZhenguo YangPeipei KangQi WangWenyin LiuPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- named entity recognition
- conditional random fields
- information extraction
- natural language processing
- named entities
- maximum entropy
- document level
- text summarization
- semi supervised
- sentiment classification
- relation extraction
- graphical models
- information retrieval
- query expansion
- named entity recognizer
- wordnet
- text classification
- markov random field
- natural language
- feature selection