A context-sensitive multi-level similarity framework for First-Order Logic arguments is proposed, using an extended axiomatic base, four-level parametric models, language-model syntax sensitivity, contextual weights, and formal constraints.
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Technical Report -- A Context-Sensitive Multi-Level Similarity Framework for First-Order Logic Arguments: An Axiomatic Study
A context-sensitive multi-level similarity framework for First-Order Logic arguments is proposed, using an extended axiomatic base, four-level parametric models, language-model syntax sensitivity, contextual weights, and formal constraints.