From: Exploiting graph kernels for high performance biomedical relation extraction
Method | AIMed | BioInfer | HPRD50 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
 | P | R | F | A | P | R | F | A | P | R | F | A |
SOA | 30.5 | 77.5 | 43.8 | 77.6 | 58.1 | 29.4 | 39.1 | 69.6 | 64.2 | 76.1 | 69.7 | 84.0 |
APG | 28.6 | 81.6 | 42.3 | 76.8 | 68.6 | 28.6 | 40.4 | 69.7 | 62.3 | 69.9 | 65.9 | 79.7 |
ASM | 26.3 | 78.0 | 39.3 | 72.9 | 67.2 | 22.6 | 33.8 | 74.1 | 66.0 | 58.3 | 61.9 | 76.2 |
 | IEPA | LLL |  |  |  |  | ||||||
 | P | R | F | A | P | R | F | A |  |  |  |  |
SOA. | 78.5 | 48.1 | 59.6 | 82.4 | 86.4 | 62.2 | 72.3 | 86.4 | Â | Â | Â | Â |
APG | 78.2 | 41.8 | 54.5 | 80.2 | 84.7 | 57.3 | 68.3 | 83.4 | Â | Â | Â | Â |
ASM | 82.8 | 17.3 | 28.6 | 77.7 | 79.3 | 28.0 | 41.4 | 75.3 | Â | Â | Â | Â |