On Measuring Semantic Preservation in Legal Ontology Learning
The episode discusses a paper titled "On Measuring Semantic Preservation in Legal Ontology Learning." The authors developed a framework to measure whether meaning is lost when converting legal documents, like merger agreements, into structured data (ontologies). They found that semantic loss is real and varies significantly depending on the chosen AI model and ontology method.