Reading Order

Determining optimal reading order, crucial for document understanding and information extraction, is a growing research area focusing on visually-rich and unstructured text. Current approaches leverage graph neural networks and other deep learning models to predict reading sequences, often incorporating techniques like data augmentation and multi-model learning to improve accuracy and efficiency. This research is significant for advancing document intelligence, improving information retrieval, and enabling more effective automated processing of diverse document types, including those with complex layouts or hierarchical structures.