CorefQA: Coreference Resolution as Query-based Span Prediction
Table 2: CorefQA achieves the state-of-the-art performance on all metrics including F1 scores on Masculine and Feminine examples, a Bias factor (F / M) and the Overall F1 score.
['Model', '[BOLD] M', '[BOLD] F', '[BOLD] B', '[BOLD] O']
We follow the protocols in DBLP: journals/tacl/WebsterRAB18; DBLP: journals/corr/abs-1908-09091 and use the off-the-shelf resolver trained on the CoNLL-2012 dataset to get the performance of the GAP dataset. We can see that the proposed CorefQA model achieves state-of-the-art performance on all metrics on the GAP dataset.