Name
Title | ||
|---|---|---|
POSBIOTM/W: a development workbench for machine learning oriented biomedical text mining system |
Abstract | ||
|---|---|---|
The POSBIOTM/W is a workbench for machine-learning oriented biomedical text mining system. The POSTBIOTM/W is intended to assist biologist in mining useful information efficiently from biomedical text resources. To do so, it provides a suit of tools for gathering, managing, analyzing and annotating texts. The workbench is implemented in Java, which means that it is platform-independent. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.3115/1225733.1225752 | HLT/EMNLP |
Keywords | Field | DocType |
biomedical text resource,biomedical text mining system,development workbench,annotating text,useful information,text mining,machine learning | Workbench,Text mining,Computer science,Biomedical text mining,Artificial intelligence,Natural language processing,Java,Machine learning | Conference |
Volume | Citations | PageRank |
H05-2 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyungduk Kim | 1 | 154 | 12.10 |
| Yu Song | 2 | 356 | 52.74 |
| Gary Geunbae Lee | 3 | 932 | 93.23 |