SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields.
Background: Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accurate identification of disease NER is a still an open and essential research pro...
| Published in: | BMC Medical Informatics & Decision Making Vol. 18; no. 5 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Published: |
BioMed Central
12/7/2018 Supplement 5
|
| Online Access: | View this record in EBSCOhost |