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Continual Relation Extraction

Compared with traditional relation extraction, CRE aims to help the model learn new relations while maintaining accurate classification of old ones.

Papers

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Showing 11–16 of 16 papers

TitleStatusHype
Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationCode1
Improving Continual Relation Extraction through Prototypical Contrastive Learning—0
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach—0
Consistent Representation Learning for Continual Relation ExtractionCode1
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation ExtractionCode0
Curriculum-Meta Learning for Order-Robust Continual Relation ExtractionCode1
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