Headlines of War data set

The Headlines of War dataset is an event detection and event linking (i.e. event coreference resolution) evaluation dataset. It includes three event classes: militarized interstate dispute incidents (MIDI), militarized interstate disputes (MID), and a negative class. The MIDI class is nested below the MID class: a MID comprises a collection of one or more MIDI events. The first iteration of Headlines of War was presented at the AESPEN workshop during LREC 2020. Please cite the following paper: Radford, Benjamin J. (2020). "Seeing the Forest for the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes." In The Proceedings of the Workshop on Automated Extraction of Socio-Political Events from News (AESPEN) at LREC 2020.