How Alignment Helps Make the Most of Multimodal Data

arXiv:2405.08454v1 Announce Type: new
Abstract: When studying political communication, combining the information from text, audio, and video signals promises to reflect the richness of human communication more comprehensively than confining it to individual modalities alone. However, when modeling such multimodal data, its heterogeneity, connectedness, and interaction are challenging to address. We argue that aligning the respective modalities can be an essential step in entirely using the potential of multimodal data because it informs the model with human understanding. Exploring aligned …

abstract alignment arxiv audio communication cs.cl data however human information modeling multimodal multimodal data political studying text the information type video