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Evaluating Synthetic Sentence Coherence Using a Large Language Model
Fine-tuning a Large Language Model (LLM) to translate imprecise, ambiguous natural language into a formal logic language that supports automated reasoning requires a significant amount of training data. With the assistance of a large ontology, millions of synthetic sentences can be generated in natu
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