Shared Task in Socio-Political and Crisis Events Detection
Niklas Stoehr, ETH Zurich
Tiancheng Hu, ETH Zurich
Francesco Re, ETH Zurich
Dániel Végh, ETH Zurich
Dennis Atzenhofer, ETH Zurich
Salvatore Giorgi, University of Pennsylvania
Ali Hürriyetoğlu, Koz University
Hristo Tanev, European Commission
Event information detection consists of multiple subsequent steps that could drastically affect the quality of the resulted event database. Thus, we believe one must consider a complete scenario that consists of document and sentence classification as relevant or not, event coreference resolution, event information extraction, and event classification in relation to an event taxonomy, and test the results on a list of events created manually to determine performance of the state-of-the-art on this task.
Shared Task in Socio-Political and Crisis Events Detection
Niklas Stoehr, ETH Zurich
Tiancheng Hu, ETH Zurich
Francesco Re, ETH Zurich
Dániel Végh, ETH Zurich
Dennis Atzenhofer, ETH Zurich
Salvatore Giorgi, University of Pennsylvania
Ali Hürriyetoğlu, Koz University
Hristo Tanev, European Commission
Event information detection consists of multiple subsequent steps that could drastically affect the quality of the resulted event database. Thus, we believe one must consider a complete scenario that consists of document and sentence classification as relevant or not, event coreference resolution, event information extraction, and event classification in relation to an event taxonomy, and test the results on a list of events created manually to determine performance of the state-of-the-art on this task.