From Unstructured Procedural Text to Knowledge Graphs: Comparing LLM-Based Extraction Strategies
This paper addresses the automated construction of knowledge graphs from natural language procedural descriptions, developing a generic approach for transforming unstructured expert knowledge into structured knowledge graphs that support downstream retrieval and question-answering applications.