Name
Abstract | ||
|---|---|---|
This multi-label structured SVM based approach is demonstrated to work well with this disorder recognition task. The novel multi-label scheme we presented is superior to the baseline and it can be used in other models to solve various types of complicated entity recognition tasks as well. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1476-4 | BMC Bioinformatics |
Keywords | Field | DocType |
Clinical text,Information extraction,Multi-label,Structured support vector machine | Structured support vector machine,Computer science,Support vector machine,Information extraction,Artificial intelligence,Bioinformatics,Machine learning,Binary number | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
5 | 0.43 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wutao Lin | 1 | 6 | 1.46 |
| Donghong Ji | 2 | 892 | 120.08 |
| Yanan Lu | 3 | 97 | 4.02 |