Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking
Table 2: Coreference results on the En test set of TAC 15 competition. Our model significantly outperforms C&M16.
['[EMPTY]', 'MUC', 'B3', 'CEAF', 'CoNLL']
(henceforth, C&M16) on the TAC 15 En training set and test on the TAC 15 En test set. The C&M16 system normally outputs both noun phrase mentions and their coreference and is trained on Ontonotes. To ensure a fair comparison, we changed the configuration of the system to accept gold mention boundaries both during training and testing. Since the system was unable to deal with partially overlapping mentions, we excluded such mentions in the evaluation. C&M16 by 8 points.