Multimodal Named Entity Recognition: A Production-Grade Implementation Scheme Integrating Text and Vision

Introduction / Main Floor: Multimodal Named Entity Recognition: A Production-Grade Implementation Scheme Integrating Text and Vision

This project provides a production-ready multimodal NER system that combines text models like BERT and RoBERTa with vision-language models such as CLIP and BLIP to achieve joint entity extraction from text and images, supporting multiple fusion mechanisms and a complete evaluation system.