Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Table 6: Out-of-domain evaluation on the WikiCoref dataset. The highest F1 scores are boldfaced.
['[EMPTY]', '[EMPTY]', 'MUC R', 'MUC P', 'MUC F1', '<italic>B</italic>3 R', '<italic>B</italic>3 P', '<italic>B</italic>3 F1', 'CEAF<italic>e</italic> R', 'CEAF<italic>e</italic> P', 'CEAF<italic>e</italic> F1', 'CoNLL', 'LEA R', 'LEA P', 'LEA F1']
Incorporating EPM feature-values improves the three points. performance by about [CONTINUE] it achieves onpar performance with that of "G&L".