Papers with adversarial multi-task learning

1 papers
Enhancing Relation Extraction via Adversarial Multi-task Learning (2022.lrec-1)

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Challenge: Existing studies have focused on re-modeling the given NEs and thus lead to inferior results when NE is sometimes ambiguous.
Approach: They propose a relation extraction model with two training stages that uses adversarial multi-task learning to recover the given NEs.
Outcome: The proposed model improves on two English benchmark datasets and shows state-of-the-art performance.

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