Name
Abstract | ||
|---|---|---|
•DDIExtraction aims to the extraction of drug–drug interactions from texts.•Non-linear kernel-based methods overcome linear SVMs.•Most results are statistically significant.•Resolution of complex sentences could lead to better performance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jbi.2014.05.007 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Information extraction,Relation extraction,Drug interaction | Kernel (linear algebra),Data mining,Information retrieval,Computer science,Information extraction,Pharmacovigilance,Relationship extraction | Journal |
Volume | Issue | ISSN |
51 | C | 1532-0464 |
Citations | PageRank | References |
30 | 1.09 | 41 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isabel Segura-Bedmar | 1 | 435 | 30.96 |
| Paloma Martínez | 2 | 717 | 85.63 |
| María Herrero-Zazo | 3 | 88 | 4.76 |