Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing (2024.findings-acl)
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| Challenge: | Existing studies on relation extraction ignore non-bridge entities, leading to bias during inference. |
| Approach: | They propose a graph-based cross-document Relation Extraction model with non-bridge entity enhancement and prediction debiasing that integrates non-cross entities with target entities and bridge entities. |
| Outcome: | The proposed model outperforms baseline models on open and closed datasets. |
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| Challenge: | Existing document-level relation extraction methods assume entities and their mentions are given beforehand, which is inadequate for real-world applications. |
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