Entity Disambiguation

Entity disambiguation aims to identify the correct referent for ambiguous mentions of entities (e.g., people, places, organizations) within text, linking them to entries in a knowledge base. Current research focuses on improving accuracy and efficiency using various approaches, including deep learning models like transformers and recurrent neural networks, often combined with knowledge graph techniques and prompt engineering for large language models. These advancements are crucial for numerous applications, such as improving information extraction from diverse sources (including historical texts and scientific literature), enhancing knowledge base construction, and facilitating more accurate and comprehensive data integration across various domains.