Authors
Di Lu, Clare Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-fu Chang, Jiawei Han, William Wallace, James Hendler, Mei Si, Lance Kaplan
Publication date
2016/6
Conference
Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: Demonstrations
Pages
72-76
Description
The sheer volume of unstructured multimedia data (eg, 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 of events being viewed. In this paper we briefly present the algorithms of each component and demonstrate the system’s capabilities 1.
Scholar articles
D Lu, C Voss, F Tao, X Ren, R Guan, R Korolov… - Proceedings of the 2016 conference of the North …, 2016