Knowledge Base Construction

Knowledge base construction (KBC) focuses on automatically building structured knowledge repositories from unstructured data sources like text and web pages. Current research emphasizes leveraging large language models (LLMs), such as GPT-3 and BERT variants, often incorporating techniques like retrieval-augmented generation (RAG) and prompt engineering to improve information extraction and accuracy. These advancements are significantly improving the efficiency and scalability of KBC, with applications ranging from powering question-answering systems and chatbots to facilitating scientific discovery through automated knowledge synthesis.