Knowledge graphs offer a powerful framework for improving natural language understanding (NLU). By modeling knowledge as formalized , entities, and relationships, knowledge graphs allow NLU models to retrieve a reservoir of domain-specific {information|. This improves the precision of NLU {tasks|, such as {question answering, text classification, a
Bridging the Gap: Knowledge Graphs and Large Language Models
The synergy of knowledge graphs (KGs) and large language models (LLMs) promises to revolutionize how we engage with information. KGs provide a structured representation of facts, while LLMs excel at interpreting natural language. By linking these two powerful technologies, we can unlock new opportunities in fields such as information retrieval. For