Multi Modal Named Entity Recognition

Multimodal Named Entity Recognition (MNER) is an important branch of Natural Language Processing, aiming to enhance the accuracy and robustness of named entity recognition models by integrating image information. This task leverages the complementarity of visual and textual data to optimize the entity recognition process, improving the ability to identify entities in complex scenarios. It has a wide range of application prospects, such as intelligent document processing, image annotation, and cross-media information retrieval.