2019
DOI: 10.1007/978-3-030-28577-7_32
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Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-Context Setting

Abstract: We present an overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from News in the context of generalizable natural language processing. The lab consists of document, sentence, and token level information classification and extraction tasks that were referred as task 1, task 2, and task 3 respectively in the scope of this lab. The tasks required the participants to identify protest relevant information from English local news at one or more aforementioned levels in a cross-context setting, which i… Show more

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Cited by 23 publications
(24 citation statements)
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“…The event category incidence ratios are imbalanced both in individual countries and across countries. This difference is one potential reason for the performance gap of the automated tools for event information collection in crosscontext settings [17]. There are 409 participant and 161 organizer annotations, mostly first and last names, that were not semantically labeled, because they do not carry any semantic information per our annotation schema.…”
Section: Cross-context News Corpus For Protest Event-related Knowledge Base Constructionmentioning
confidence: 99%
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“…The event category incidence ratios are imbalanced both in individual countries and across countries. This difference is one potential reason for the performance gap of the automated tools for event information collection in crosscontext settings [17]. There are 409 participant and 161 organizer annotations, mostly first and last names, that were not semantically labeled, because they do not carry any semantic information per our annotation schema.…”
Section: Cross-context News Corpus For Protest Event-related Knowledge Base Constructionmentioning
confidence: 99%
“…Additional results that were yielded using some parts of this corpus can be found in various publications. The results obtained in a shared task for the cross-context document and sentence classification and token extraction were reported in the overview paper of the ProtestNews Lab [17], which was held in the scope of Conference and Labs of the Evaluation Forum (CLEF 2019). Participants of this shared task reported comparable results to the performance reported in this paper.…”
Section: Cross-context News Corpus For Protest Event-related Knowledge Base Constructionmentioning
confidence: 99%
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“…Before preparing the data we had to consider the data shared in previous editions of the shared task, copyright issues and possible inference between data of separate subtasks. Some portion of the data in English was shared with academic community in previous shared tasks (Hürriyetoglu et al, 2019b(Hürriyetoglu et al, , 2020 and publications as sample data .…”
Section: Data Preparationmentioning
confidence: 99%
“…constructed a corpus of protest events comprising various language sources from various countries. Several systems were submitted to the CLEF ProtestNews Track that consisted of three shared tasks, primarily aimed at identifying and extracting event information spanning to multiple countries (Hürriyetoglu et al, 2019b.…”
Section: Related Workmentioning
confidence: 99%