Knowledge-aware Pronoun Coreference Resolution
(b) i2b2
['Model', 'Third Personal P', 'Third Personal R', 'Third Personal F1', 'Possessive P', 'Possessive R', 'Possessive F1', 'Demonstrative P', 'Demonstrative R', 'Demonstrative F1', 'All P', 'All R', 'All F1']
Overall, our model outperforms all baselines on two datasets with respect to all pronoun types. There are several interesting observations. In general, the i2b2 dataset seems simpler than the CoNLL dataset, which might because that i2b2 only involves clinical narratives and its training data is highly similar to the test data. As a result, all neural models perform dramatically good, especially on the third personal and possessive pronouns. In addition, we also notice that it is more challenging for all models to resolve demonstrative pronouns (e.g., this, that) on both datasets, because such pronouns may refer to complex things and occur with low frequency.