We propose a Graph Retrieval-Augmented Generation (GraphRAG) framework for the analysis of Semantic Verbal Fluency (SVF) tests, combining graph-structured representations of lexical retrieval with retrieval-conditioned generation. The approach preserves the relational and temporal structure of verbal production while grounding language-model outputs in verifiable graph evidence, addressing the limitations of both aggregate-score analyses and unconstrained generative interpretation in longitudinal cognitive assessment.
Graph-based analysis of verbal fluency tests for cognitive decline assessment
marco ortuSecondo
;andrea cartaUltimo
2026-01-01
Abstract
We propose a Graph Retrieval-Augmented Generation (GraphRAG) framework for the analysis of Semantic Verbal Fluency (SVF) tests, combining graph-structured representations of lexical retrieval with retrieval-conditioned generation. The approach preserves the relational and temporal structure of verbal production while grounding language-model outputs in verifiable graph evidence, addressing the limitations of both aggregate-score analyses and unconstrained generative interpretation in longitudinal cognitive assessment.
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