Long-tail knowledge extraction from historical documents
Knowledge Extraction (KE) transforms unstructured text into machine-readable representations, enabling automatic Knowledge Graph (KG) generation. Modern KE systems use Large Language Models (LLMs) as core components, leveraging knowledge stored in their parameters through pre-training. LLMs struggle with long-tail know...