Temporal Tagging

Temporal Tagging is an important sub-task in natural language processing, aiming to identify the scope of temporal expressions in text. The goal of this task is to accurately extract both explicit and implicit temporal expressions and annotate them. Through Temporal Tagging, the understanding and processing capabilities of temporal information in texts can be enhanced, and it is widely applied in scenarios such as information retrieval, event extraction, and timeline construction, thereby improving the intelligence level of systems.