Name
Title | ||
|---|---|---|
A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records. |
Abstract | ||
|---|---|---|
The POS feature marked by the reduced POS tagging together with self-matching attention mechanism puts a stranglehold on entity boundaries and has a good performance in the recognition of clinical entities. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12911-019-0762-7 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Chinese electronic medical records,Named entity recognition,Part of speech | Data mining,Expression (mathematics),Part of speech,Boundary detection,Medical record,Natural language processing,Artificial intelligence,Deep learning,Casual,Health informatics,Named-entity recognition,Medicine | Journal |
Volume | Issue | ISSN |
19-S | 2 | 1472-6947 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoling Cai | 1 | 0 | 0.34 |
| Shoubin Dong | 2 | 5 | 5.51 |
| Jinlong Hu | 3 | 35 | 4.08 |