Higher-order Coreference Resolution with Coarse-to-fine Inference
Table 1: Results on the test set on the English CoNLL-2012 shared task. The average F1 of MUC, B3, and CEAFϕ4is the main evaluation metric. We show only non-ensembled models for fair comparison.
['[EMPTY]', 'MUC Prec.', 'MUC Rec.', 'MUC F1', 'B3 Prec.', 'B3 Rec.', 'B3 F1', 'CEAF [ITALIC] ϕ4 Prec.', 'CEAF [ITALIC] ϕ4 Rec.', 'CEAF [ITALIC] ϕ4 F1', 'Avg. F1']
We include performance of systems proposed in the past 3 years for reference. The baseline relative to our contributions is the span-ranking model from \newcitee2e-coref augmented with both ELMo and hyperparameter tuning, which achieves 72.3 F1. Our full approach achieves 73.0 F1, setting a new state of the art for coreference resolution.