Papers › Document-level Relation Extraction as Semantic Segmentation
Document-level Relation Extraction as Semantic Segmentation
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
Document-level relation extraction aims to extract relations among multiple entity pairs from a document. Previously proposed graph-based or transformer-based models utilize the entities independently, regardless of global information among relational triples. This paper approaches the problem by predicting an entity-level relation matrix to capture local and global information, parallel to the semantic segmentation task in computer vision. Herein, we propose a Document U-shaped Network for document-level relation extraction. Specifically, we leverage an encoder module to capture the context information of entities and a U-shaped segmentation module over the image-style feature map to capture global interdependency among triples. Experimental results show that our approach can obtain state-of-the-art performance on three benchmark datasets DocRED, CDR, and GDA.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Relation Extraction | CDR | DocuNet-SciBERTbase | F1 | 76.3 | #4 of 10 | Archive leaderboard | report |
| Relation Extraction | DocRED | DocuNet-RoBERTa-large | F1 | 64.55 | #6 of 62 | Archive leaderboard | report |
| Relation Extraction | DocRED | DocuNet-RoBERTa-large | Ign F1 | 62.4 | #6 of 62 | Archive leaderboard | report |
| Relation Extraction | GDA | DocuNet-SciBERTbase | F1 | 85.3 | #4 of 9 | Archive leaderboard | report |
| Relation Extraction | ReDocRED | DocuNET | F1 | 77.87 | #6 of 8 | Archive leaderboard | report |
| Relation Extraction | ReDocRED | DocuNET | Ign F1 | 77.26 | #6 of 8 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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