Revisiting Joint Modeling of Cross-documentEntity and Event Coreference Resolution
Table 3: Combined within- and cross-document event coreference results on the ECB+ test set.
['<bold>Model</bold>', 'R', 'MUC P', '<italic>F</italic>1', 'R', 'B3 P', '<italic>F</italic>1', 'R', 'CEAF-<italic>e</italic> P', '<italic>F</italic>1', 'CoNLL <italic>F</italic>1']
lines with a gap of 10.5 CoNLL F1 points from the last published results (KCP), while surpassing our strong lemma baseline by 3 points. Table 3 presents the results on event coreference. Our joint model outperforms all the base [CONTINUE] The results reconfirm that the lemma baseline, when combined with effective topic clustering, is a strong baseline for CD event coreference resolution on the ECB+ corpus (Upadhyay et al., 2016). [CONTINUE] The results of CLUSTER+KCP again indicate that pre-clustering of documents to topics is beneficial, improving upon the KCP performance by 4.6 points, though still performing substantially worse than our joint model. [CONTINUE] Our model achieves state-of-the-art results, outperforming previous models by 10.5 CoNLL F1 points on events,