LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs

Researchers developed LEC-KG, a new framework that combines Large Language Models with Knowledge Graph Embeddings to better extract and structure information from unstructured text. The system was tested on Chinese Sustainable Development Goal reports and showed significant improvements over traditional LLM approaches, particularly for identifying rare relationships in domain-specific content.