Table 3 Performance comparison between the state of the art [4, 28] and this work in terms of precision (P), recall (R) and F-measure (F)
From: Syntax-based transfer learning for the task of biomedical relation extraction
Test corpus | Work (train corpus) | P | R | F |
|---|---|---|---|---|
SNPPhena | [4] (SNPPhenA) | 56.6 | 59.8 | 58.2 |
This work (SNPPhenA + SemEval 2013 DDI) | 64.5 | 75.2 | 69.4 | |
EU-ADR | [28] (EU-ADR drug-disease) | 70.2 | 93.2 | 79.3 |
drug-disease | This work (EU-ADR drug-disease + SemEval 2013 DDI) | 74.8 | 90.6 | 82.0 |
EU-ADR | [28] (EU-ADR drug-target) | 74.2 | 97.4 | 83.3 |
drug-target | This work (EU-ADR drug-target + SemEval 2013 DDI) | 73.5 | 95.6 | 83.1 |
EU-ADR | [28] (EU-ADR target-disease) | 75.1 | 97.7 | 84.6 |
target-disease | This work (EU-ADR target-disease + SemEval 2013 DDI) | 78.7 | 91.4 | 84.6 |