Temporal Relation Extraction

Temporal Relation Extraction is an important sub-task in natural language processing, aiming to identify and classify the temporal relationships between entities in text. This task analyzes sentence structure and contextual semantics to determine the time sequence of events and their interrelationships, such as before-after and simultaneous. Its application value lies in improving the accuracy and timeliness of information extraction systems, supporting timeline construction, event prediction, and historical data analysis, among other scenarios.