Grounded Multimodal Named Entity Recognition

Grounded Multimodal Named Entity Recognition is a method that integrates computer vision and natural language processing technologies, aiming to identify and locate named entities from multimodal data. By jointly analyzing images and text, this method achieves precise annotation and understanding of entities, enhancing the capability of cross-modal information fusion. Its application value lies in being able to more accurately parse and utilize multimedia content, supporting advanced functions such as intelligent search, content recommendation, and semantic understanding.