Knowledge graphs offer a effective framework for boosting natural language understanding (NLU). By structuring knowledge as structured , entities, and relationships, knowledge graphs allow NLU applications to utilize a reservoir of explicit {information|. This strengthens the precision of NLU {tasks|, such as {question answering, text classificatio
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 data, while LLMs excel at understanding natural language. By merging these two powerful technologies, we can unlock new capabilities in areas such as question answering. For