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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 1–10 of 16 papers

TitleStatusHype
Rationale-Enhanced Language Models are Better Continual Relation LearnersCode1
Improving Continual Relation Extraction by Distinguishing Analogous SemanticsCode1
Enhancing Continual Relation Extraction via Classifier DecompositionCode1
Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationCode1
Consistent Representation Learning for Continual Relation ExtractionCode1
Curriculum-Meta Learning for Order-Robust Continual Relation ExtractionCode1
Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive PromptingCode0
Few-shot Continual Relation Extraction via Open Information Extraction—0
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective—0
Preserving Generalization of Language models in Few-shot Continual Relation ExtractionCode0
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