Preprint
Jul 2026
KGCQual: An Interpretable Framework for Evaluating the Knowledge Graph Construction Quality from Text
A novel, interpretable metric for intrinsic KG quality assessment that measures how closely an automatically extracted graph approximates an"ideal"graph capturing the key noun phrases, predicate relations, and basic linguistic phenomena such as negation expressed in the source text is proposed.
Nipun Misra, Vikranth Udandarao, Aanchal Gupta et al.
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