Knowledge graphs offer a effective framework for boosting natural language understanding (NLU). By representing knowledge as structured triples, knowledge graphs allow NLU models to access a abundance of general {information|. This improves the precision of NLU {tasks|, such as {question answering, text classification, and sentiment analysis. Knowl
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 communicate with information. KGs provide a structured representation of facts, while LLMs excel at understanding natural language. By linking these two powerful technologies, we can unlock new capabilities in areas such as information retrieval.