Knowledge graphs provide a effective framework for boosting natural language understanding (NLU). By modeling knowledge as organized triples, knowledge graphs enable NLU systems to retrieve a abundance of explicit {information|. This improves the accuracy of NLU {tasks|, such as {question answering, text classification, and sentiment analysis. Know
Bridging the Gap: Knowledge Graphs and Large Language Models
The convergence of knowledge graphs (KGs) and large language models (LLMs) promises to revolutionize how we interact with information. KGs provide a structured representation of knowledge, while LLMs excel at processing natural language. By linking these two powerful technologies, we can unlock new opportunities in domains such as information retri