AINeutralarXiv – CS AI · 14h ago6/10
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Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correction
Researchers propose a neuro-symbolic framework for constructing knowledge graphs that combines LLM-based extraction with post-hoc ontology constraint validation, reducing token costs while improving consistency for complex question-answering tasks. The method defers corrections to after extraction rather than during it, enabling SQL-like querying capabilities for multi-hop reasoning across documents.