Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Table 3: Results on SemEval 2018 Task 7, Sub-Task 1.1.
['[BOLD] Method', '[BOLD] Averaged F1  [BOLD] Macro', '[BOLD] Averaged F1  [BOLD] Micro']
Our Entity-Aware BERTSP gives comparable results to the top-ranked system Rotsztejn et al. When predicting multiple relations in one-pass, we have 0.9% drop on Macro-F1, but a further 0.8% improvement on Micro-F1. Note that the system Rotsztejn et al.