In LLM-augmented Knowledge Graphs, LLMs are used to improve KG representations, encode text or generate facts for KG completion, perform entity discovery and relation extraction for KG construction, describe KG facts in natural language, and connect natural language questions to KG-based answers, as cited in [55, 56, 57].

Authors

• Person: Not available Organization: Springer
  A survey on augmenting knowledge graphs (KGs) with large ...

Sources

• A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer via serper

Referenced by nodes (6)

• Large Language Models concept
• relation extraction concept
• LLM knowledge graph concept
• natural language concept
• text concept
• fact concept