Document Structure

Document structure analysis focuses on understanding and representing the hierarchical organization of textual information, aiming to improve information extraction, retrieval, and generation. Current research emphasizes developing efficient deep learning models, such as transformers and graph neural networks, to capture both the visual layout and semantic relationships within documents, often incorporating multi-modal data (text and images) and leveraging techniques like hierarchical attention and structure-aware decoding. This work is significant for advancing natural language processing and computer vision, with applications ranging from automated document annotation and form understanding to improved information retrieval and text summarization across diverse domains.