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The sheer volume of unstructured multimedia data (e.g., texts, images, videos) posted on the Web during events of general interest is overwhelming and difficult to distill if seeking information relevant to a particular concern. We have developed a comprehensive system that searches, identifies, organizes and summarizes complex events from multiple data modalities. It also recommends events related to the user's ongoing search based on previously selected attribute values and dimensions ofdoi:10.18653/v1/n16-3015 dblp:conf/naacl/LuVTRGKZWLCJCHW16 fatcat:kxehxhclqzacpa6rtxijgqgsqy