Continual Relation Extraction

Continual Relation Extraction (CRE) is a crucial task in the field of natural language processing, aimed at enabling models to continuously learn new relations while maintaining accurate classification of existing ones. Compared to traditional relation extraction, CRE emphasizes the capability of continuous learning, allowing it to adapt to ever-changing data environments, thereby enhancing the model's generalization and practicality. It is widely applied in scenarios such as knowledge graph construction, information extraction, and semantic understanding.