Papers with Re-Cent

1 papers
Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Relation Triplet Extraction (2025.coling-main)

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Challenge: Existing methods to extract triplets from context often decompose into named entity recognition and relation classification, which may introduce error propagation.
Approach: They propose a Relation-centric joint ZSRTE method which leverages unseen relation labels to extract triplets in one go.
Outcome: The proposed method achieves state-of-the-art performance with fewer parameters and does not rely on synthetic data or manual labor.

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