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We present an overview of the CLEF-2019 Lab ProtestNews on ExtractingProtests from News in the context of generalizable natural language processing.The lab consists of document, sentence, and token level informationclassification and extraction tasks that were referred as task 1, task 2, andtask 3 respectively in the scope of this lab. The tasks required theparticipants to identify protest relevant information from English local newsat one or more aforementioned levels in a cross-context setting, which iscross-country in the scope of this lab. The training and development data werecollected from India and test data was collected from India and China. The labattracted 58 teams to participate in the lab. 12 and 9 of these teams submittedresults and working notes respectively. We have observed neural networks yieldthe best results and the performance drops significantly for majority of thesubmissions in the cross-country setting, which is China.

Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting