Natural language inference derives conceptual structure

Just like paraphrase mining approximates dense linking and, in turn, fosters understanding, natural language inference provides the tools necessary for deriving explicit position cues in conceptual space, the underlying mental models. Specifically, based on prompt engineering, machine learning models can infer whether or not a certain text provides supporting evidence, a formal framework, an example, or something else. Those relations could also just be presented to the second brain practitioner, who in term could make use of them.