Document-Level Zero-Shot Relation Extraction with Entity Side Information (2026.eacl-long)
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| Challenge: | Existing approaches rely on Large Language Models (LLMs) to generate synthetic data for unseen labels. |
| Approach: | They propose a document-level zero-shot relation extraction framework with Entity Side Information to solve existing problems. |
| Outcome: | The proposed approach achieves an average improvement of 11.6% in the macro F1-Score compared to baseline models and existing benchmarks. |
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