Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora

@article{Bugert2021GeneralizingCE,
  title={Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora},
  author={Michael Bugert and Nils Reimers and Iryna Gurevych},
  journal={Computational Linguistics},
  year={2021},
  volume={47},
  pages={1-40}
}
Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of events need to be identified and clustered throughout a collection of documents. CDCR aims to benefit downstream multidocument applications, but despite recent progress on corpora and system development, downstream improvements from applying CDCR have not been shown yet. We make the observation that every CDCR system to date was developed, trained, and tested only on a single respective corpus. This raises… 
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