CMNER: A Chinese Multimodal NER Dataset based on Social Media

Understand

Multimodal Named Entity Recognition (MNER) is a pivotal task designed to extract named entities from text with the support of pertinent images.

• Nonetheless, a notable paucity of data for Chinese MNER has considerably impeded the progress of this natural language processing task within the Chinese domain.
• Consequently, in this study, we compile a Chinese Multimodal NER dataset (CMNER) utilizing data sourced from Weibo, China's largest social media platform.
• Our dataset encompasses 5,000 Weibo posts paired with 18,326 corresponding images.