In addition, social media posts often include mentions of newly emerging entities unseen in training sets, making traditional context-based entity linking often not viable.
our SnapCaptionsKB dataset is composed of 12K user-generated image and textual caption pairs where named entities in captions and their links to KB entities are manually labeled by expert human annotators.