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What is Continual Relation Extraction Model about?

This paper presents a novel continual relation extraction (CRE) model that addresses challenges such as catastrophic forgetting and inefficient memory utilization by using class-specific prototypes and energy-based latent alignment. The proposed model enhances learning through contrastive learning and an Energy-based Latent feature space Alignment (ELI) module, demonstrating superior performance on benchmark datasets FewRel and TACRED compared to existing methods. Experimental results indicate improvements

Author

thanhduy9a4tv

Language

EN