Knowledge graphs provide a robust framework for improving natural language understanding (NLU). By modeling knowledge as formalized , entities, and relationships, knowledge graphs allow NLU models to utilize a abundance of general {information|. This enhances the accuracy of NLU {tasks|, such as {question answering, text classification, and sentime
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 engage with information. KGs provide a structured representation of knowledge, while LLMs excel at understanding natural language. By merging these two powerful technologies, we can unlock new opportunities in areas such as information retrie