Table 6 Performance (in %) of individual systems in combination with NP chunking, before and after stop-word removal.
From: Recognition of chemical entities: combining dictionary-based and grammar-based approaches
| Â | Baseline + NP chunking | Baseline + NP chunking + stop-words | ||||
|---|---|---|---|---|---|---|
| Â | Precision | Recall | F-score | Precision | Recall | F-score |
ChEBI | 56.3 | 39.4 | 46.4 | 77.5 | 38.5 | 51.5 |
ChEMBL | 87.8 | 18.2 | 30.1 | 88.6 | 18.2 | 30.1 |
ChemSpider | 70.1 | 37.9 | 49.2 | 81.5 | 37.3 | 51.2 |
DrugBank | 62.9 | 16.8 | 26.5 | 76.6 | 16.7 | 27.5 |
HMDB | 73.5 | 33.7 | 46.2 | 82.0 | 33.1 | 47.2 |
NPC | 46.8 | 26.0 | 33.5 | 59.1 | 25.7 | 35.9 |
TTD | 66.6 | 14.4 | 23.6 | 83.0 | 14.0 | 24.0 |
PubChem | 32.7 | 57.0 | 41.6 | 61.5 | 55.9 | 58.6 |
Jochem | 64.3 | 50.6 | 56.7 | 67.4 | 50.6 | 57.8 |
UMLS | 36.6 | 49.2 | 42.0 | 44.3 | 48.9 | 46.5 |
ChEBI Family | 18.4 | 15.9 | 17.1 | 28.8 | 15.6 | 20.3 |