Papers with discriminability
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction (2023.eacl-main)
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| Challenge: | Document-level relation extraction (DocRE) predicts relations for entity pairs relying on context-dependent reasoning . a large number of annotation errors can make it difficult to distinguish large semantically close relations . |
| Approach: | They propose a loss function to improve discriminability and robustness for DocRE . they also propose supervised contrastive learning and negative label sampling strategy . |
| Outcome: | The proposed method achieves state-of-the-art results on the DocRED dataset and its recently cleaned version. |