Multimodal Attribute Value Extraction

Multimodal attribute value extraction is a subtask of natural language processing that focuses on extracting specified attribute values from multimodal inputs such as text and images. This task aims to improve the accuracy and comprehensiveness of attribute value extraction by integrating multiple information sources, which is particularly valuable in e-commerce and other fields. It can effectively enhance the structuring level of product information and user experience.