Adaptive Hinge Balance Loss for Document-Level Relation Extraction (2023.findings-emnlp)
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| Challenge: | Document-Level Relation Extraction is a multi-label classification task . however, most entity pairs do not express any relations . |
| Approach: | They propose to use a distance between the classification threshold and predicted score to reduce the imbalance problem by balancing the easy negatives. |
| Outcome: | The proposed method is superior to other methods, the authors show . it reduces the threshold to an appropriate value, and increases quadratically with the number of entities. |
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