AINeutralarXiv – CS AI · 18h ago6/10
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A Variability-Based Framework for Interpretable Naming in Formal and Relational Concept Analysis
Researchers propose a variability-based framework for automatically naming concepts generated by Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA) using large language models. The framework addresses the challenge of translating formally-defined but opaque symbolic abstractions into human-readable names by controlling which information sources (intent, extent, implications, relations) are exposed during naming, making semantic choices explicit and interpretable.