Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction

arXiv:2404.03868v1 Announce Type: cross
Abstract: In this work, we are interested in automated methods for knowledge graph creation (KGC) from input text. Progress on large language models (LLMs) has prompted a series of recent works applying them to KGC, e.g., via zero/few-shot prompting. Despite successes on small domain-specific datasets, these models face difficulties scaling up to text common in many real-world applications. A principal issue is that in prior methods, the KG schema has to be included in the LLM …

abstract arxiv automated construction cs.ai cs.cl cs.lg datasets domain extract few-shot framework graph knowledge knowledge graph language language models large language large language models llm llms progress prompting series small text them type via work