Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Table 1: Impact of linguistic features on deep-coref models on the CoNLL development set.
['[EMPTY]', 'MUC', '<italic>B</italic>3', 'CEAF<italic>e</italic>', 'CoNLL', 'LEA']
We observe that incorporating all the linguistic features bridges the gap between the performance of "top-pairs" and "ranking". [CONTINUE] However, it does not improve significantly over "ranking".