Temporal annotation is the study of how to automatically add semantic information regarding time to natural language documents.
Significant temporal annotation standards include TimeML, ISO-TimeML and TIDES.
Successful temporal annotation enables systems to find out when facts asserted in texts are true, to build timelines,[3] to extract plans, and to discover mentions of change.
This has had applications in many domains, such as information extraction, digital history,[4] processing social media, and clinical text mining.
In addition, the i2b2 clinical evaluation shared task was a temporal annotation exercise in 2012, which attracted a great deal of interest.