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LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -A Case Study on SDGs
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The LEC-KG framework introduces a novel bidirectional collaborative approach for knowledge graph construction, integrating LLMs and KGEs for mutual enhancement. It employs KGE to provide structure-aware feedback for refining LLM extractions via evidence-guided Chain-of-Thought reasoning, while LLM-validated triples progressively improve KGE representations. This iterative feedback loop combines the distinct reasoning capabilities of both LLMs and KGEs to enhance the overall KG construction process.
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