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Ontology-driven Event Type Classification in Images
[article]
2020
arXiv
pre-print
Event classification can add valuable information for semantic search and the increasingly important topic of fact validation in news. So far, only few approaches address image classification for newsworthy event types such as natural disasters, sports events, or elections. Previous work distinguishes only between a limited number of event types and relies on rather small datasets for training. In this paper, we present a novel ontology-driven approach for the classification of event types in
arXiv:2011.04714v1
fatcat:egtveazu25hmpdcrckmm2uo62a