Table 1 Performance of each tool.
From: Context-based resolution of semantic conflicts in biological pathways
Types | Tools | Date | Prec. | Recall | F-score | Choice | DataSet | Time* |
|---|---|---|---|---|---|---|---|---|
Chemical | CheNER | 2013 | 91% | 30% | 50% | O | EvalC Corpus | 21 min |
| Â | ChemSpot | 2012 | 75% | 84% | 79% | X | Â | 210 min |
Gene/ Protein | GENIA tagger | 2006 | 66% | 81% | 72% | O | NLPBA2004 (Protein) | 9 min |
| Â | NERsuite | 2012 | 88% | 82% | 85% | X | BioCreative2 | 11 min |
| Â | ABNER | 2005 | 68% | 78% | 73% | X | Â | Â |
| Â | BANNER | 2008 | 87% | 83% | 85% | X | Â | 60 min |
| Â | Alias-i LingPipe (LIPI) | 2010 | 60% | 70% | 64% | X | Â | Â |
Cell type | GENIA tagger | 2006 | 79% | 71% | 74% | O | NLPBA dataset | 9 min |
| Â | ABNER | 2005 | 80% | 66% | 72% | X | Â | Â |
Disease | BANNER | 2008 | 87% | 83% | 85% | O | NCBI Disease Corpus | 58 min |
Organ | Alias-i LingPipe (LIPI) | 2010 | Â | Â | Â | O | NCBI's GeneTag Corpus | 16 min |