CMNER: A Chinese Multimodal NER Dataset based on Social Media

arXiv:2402.13693v1 Announce Type: new
Abstract: 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 …

abstract arxiv chinese cs.cl data dataset extract images language language processing media multimodal natural natural language natural language processing ner pivotal processing progress recognition social social media support text type