Entity Selection

Entity selection focuses on accurately identifying and linking mentions of entities (people, places, things) within text and other data modalities to their corresponding entries in knowledge bases. Current research emphasizes improving the accuracy and efficiency of this process, particularly using large language models and incorporating multimodal information (text and images) to resolve ambiguity and leverage richer contextual cues. These advancements are crucial for improving information extraction, knowledge graph construction, and the development of more natural and robust conversational AI systems.