Robustness in Coreference Resolution

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Toward Gender-Inclusive Coreference Resolution (2019, background): “The first observation is that there is still plenty room for coreference systems to improve; the best performing system achieves as F1 score of 34%, but the Stanford neural system’s F1 score on CoNLL2012 test set reaches 60% (Moosavi, 2020).”
Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* (2021, background): “The ﬁrst observation is that there is still plenty room for coreference systems to improve; the best performing system achieves as F1 score of 34%, but the Stanford neural system’s F1 score on CoNLL-2012 test set reaches 60% (Moosavi 2020).”