Headlines of War data set
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["event coreference","event linking","political event data"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
event coreference; event linking; political event data