Given streams of text, speech, images, video, and their associated metadata, from a variety of genres, both formal (e.g.,news) and informal (e.g., social media, blogs), systems are asked to analyze each incoming information item (~100k items in total) and produce a set of structured representations (knowledge elements) about events, sub-events or actions, entities, relations, locations, time, and sentiments (beliefs) that are observable in that information item (all of them, not just the most confident!) given an ontology/schema and zero or more background (context) information.
More detailed guidelines about the task evaluation, metrics and data and schedule will be available soon on the TAC website
News magazine, science news, news reports, documentaries, educational programming, and archival video
Airport Security Cameras & Activity Detection
Video collections from News, Sound & Vision, Internet Archive,
Social Media, BBC Eastenders