| Â | Precision | Recall | F 1 |
|---|
SemRep-ALL | 0.90 | 0.24 | 0.38 |
SemRep-SENTENCE | 0.90 | 0.35 | 0.50 |
Xu et al. [19] | 0.56 | 0.58 | 0.57 |
Peng et al. [20] | 0.66 | 0.57 | 0.61 |
- SemRep-ALL indicates the case in which all ground truth relations are taken into account. SemRep-SENTENCE indicates the scenario in which only the intra-sentence ground truth relations are considered. Xu et al. [19] was the top-ranking system in the BioCreative V CID task and Peng et al. [20] reported best post-challenge results. Both systems perform end-to-end relation extraction
