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This investigation proposes the NORKE framework, a structure-aware solution for constructing KGs from normative documents that leverages the inherent normative hierarchy, to extract and formalize rules as semantically cohesive RDF triples.
Test-based learning is effective in fostering knowledge retention, but manually creating assessment questions remains time-consuming and limits personalized student practice. The advent of Large Language Models (LLMs) has introduced new possibilities for Automatic Question Generation (AQG). Motivated by this context, t...
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