Grounded Knowledge Graph Extraction via LLMs: An Anchor-Constrained Framework with Provenance Tracking
Knowledge graphs represent real-world facts as structured triplets and underpin a wide range of applications, including question answering, recommendation, and retrieval-augmented generation. Automatically extracting such triplets from unstructured text is essential for scalable knowledge base const...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2026-03-01
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| Schriftenreihe: | Computers |
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| Online-Zugang: | https://www.mdpi.com/2073-431X/15/3/178 |
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