Temporal tagging is the process of identifying and extracting temporal expressions from text, enabling the understanding and manipulation of time-related information in natural language processing. This technique is crucial for tasks like event extraction, timeline generation, and temporal reasoning, enhancing the ability to comprehend and analyze time-dependent information in texts.