BERT for Coreference Resolution: Baselines and Analysis
Table 2: GAP: BERT improves the c2f-coref model by 11.5%. The metrics are F1 score on Masculine and Feminine examples, Overall, and a Bias factor (F / M).
['Model', 'M', 'F', 'B', 'O']
GAP Webster et al. Examples in the GAP dataset fit within a single BERT segment, thus eliminating the need for cross-segment inference. Following Webster et al. , we trained our BERT-based c2f-coref model on OntoNotes. The predicted clusters were scored against GAP examples according to the official evaluation script. These results are in line with large gains reported for a variety of semantic tasks by BERT-based models Devlin et al.