Multimodal Event Transformer for Image-guided Story Ending Generation
Yucheng Zhou, Guodong Long · 2023
Image-guided story ending generation (IgSEG) is to generate a story ending based on given story plots and ending image.Existing methods focus on cross-modal feature fusion but overlook reasoning and mining implicit information from story plots and ending image.To tackle this drawback, we propose a multimodal event transformer, an event-based reasoning framework for IgSEG.Specifically, we construct visual and semantic event graphs from story plots and ending image, and leverage event-based reasoning to reason and mine implicit information in a single modality.Next, we connect visual and semantic event graphs and utilize cross-modal fusion to integrate differentmodality features.In addition, we propose a multimodal injector to adaptive pass essential information to decoder.Besides, we present an incoherence detection to enhance the understanding context of a story plot and the robustness of graph modeling for our model.Experimental results show that our method achieves state-of-the-art performance for the image-guided story ending generation.