Knowledge graphs provide a powerful framework for improving natural language understanding (NLU). By structuring knowledge as structured , entities, and relationships, knowledge graphs allow NLU applications to utilize a abundance of domain-specific {information|. This strengthens the precision of NLU {tasks|, such as {question answering, text clas
Bridging the Gap: Knowledge Graphs and Large Language Models
The integration 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 understanding natural language. By merging these two powerful technologies, we can unlock new opportunities in domains such as information re