10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2026
E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition
Meng Zhang, Jinzhong Ning, Xiaolong Wu +2
Grounded Multimodal Named Entity Recognition (GMNER) aims to jointly identify named entity mentions in text, predict their semantic types, and ground each entity to a corresponding…
cs.CL2019★ 10 cited
Learning to Predict Explainable Plots for Neural Story Generation
Gang Chen, Yang Liu, Huanbo Luan +3
Story generation is an important natural language processing task that aims to generate coherent stories automatically. While the use of neural networks has proven effective in imp…