CorefQA: Coreference Resolution as Query-based Span Prediction
Table 1: Evaluation results on the English CoNLL-2012 shared task. The average F1 of MUC, B3, and CEAFϕ4 is the main evaluation metric. Ensemble models are not included in the table for a fair comparison.
['[EMPTY]', 'MUC P', 'MUC R', 'MUC F1', 'B3 P', 'B3 R', 'B3 F1', 'CEAF [ITALIC] ϕ4 P', 'CEAF [ITALIC] ϕ4 R', 'CEAF [ITALIC] ϕ4 F1', 'Avg. F1']
Our CorefQA system achieves a huge performance boost over existing systems: With SpanBERT-base, it achieves an F1 score of 79.9, which already outperforms the previous SOTA model using SpanBERT-large by 0.3. With SpanBERT-large, it achieves an F1 score of 83.1, with a 3.5 performance boost over the previous SOTA system.