4 citations · 9 across the 3 of their papers we have counts for
5 papers
Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
Swati Padhee, Tanay Kumar Saha, Joel Tetreault +1
Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events. Prior work in analyzing social media data for crisis m…
Multimodal Categorization of Crisis Events in Social Media
Mahdi Abavisani, Liwei Wu, Shengli Hu +2
Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental advances in detecting bre…
Unsupervised Detection of Sub-events in Large Scale Disasters
Chidubem Arachie, Manas Gaur, Sam Anzaroot +3
Social media plays a major role during and after major natural disasters (e.g., hurricanes, large-scale fires, etc.), as people ``on the ground'' post useful information on what is…
TGIF: A New Dataset and Benchmark on Animated GIF Description
Yuncheng Li, Yale Song, Liangliang Cao +4
With the recent popularity of animated GIFs on social media, there is need for ways to index them with rich metadata. To advance research on animated GIF understanding, we collecte…
Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest
Dragomir Radev, Amanda Stent, Joel Tetreault +8
The New Yorker publishes a weekly captionless cartoon. More than 5,000 readers submit captions for it. The editors select three of them and ask the readers to pick the funniest one…