Moreover, the recent research by Moosavi and Strube (2017) found that the extensive use of lexical and surface features biases entity coreference resolvers towards seen mentions and do not generalize to unseen domains, and the finding can perfectly apply to event coreference resolution.
we propose to improve event coreference resolution by modeling correlations between event corefer-ences and the overall topic structures of a document, which is more likely to yield robust and generalizable event coreference resolvers.