ET-MIER: Entity Type-guided Key Mention Identification and Evidence Retrieval for Document-level Relation Extraction (2025.findings-emnlp)
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| Challenge: | Existing work does not fully distinguish the contribution of different mentions to entity representation and the importance of mentions in evidence sentences. |
| Approach: | They propose a document-level relation extraction task that uses entity mentions to identify relations between entities in a text. |
| Outcome: | The proposed model achieves state-of-the-art on widely-adopted datasets. |
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| Challenge: | Document-level relation extraction (DocRE) aims to extract relations of all entity pairs in document. |
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