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In this paper, we study the identity of textual events from differentdocuments. While the complex nature of event identity is previously studied(Hovy et al., 2013), the case of events across documents is unclear. Prior workon cross-document event coreference has two main drawbacks. First, theyrestrict the annotations to a limited set of event types. Second, theyinsufficiently tackle the concept of event identity. Such annotation setupreduces the pool of event mentions and prevents one from considering thepossibility of quasi-identity relations. We propose a dense annotation approachfor cross-document event coreference, comprising a rich source of eventmentions and a dense annotation effort between related document pairs. To thisend, we design a new annotation workflow with careful quality control and aneasy-to-use annotation interface. In addition to the links, we further collectoverlapping event contexts, including time, location, and participants, to shedsome light on the relation between identity decisions and context. We presentan open-access dataset for cross-document event coreference, CDEC-WN, collectedfrom English Wikinews and open-source our annotation toolkit to encouragefurther research on cross-document tasks.

Cross-document Event Identity via Dense Annotation