Digital Library

Digital libraries are evolving to provide more accessible and efficient access to scholarly information. Current research focuses on improving accessibility through techniques like automated simplification of complex text and the development of robust metadata extraction methods using machine learning models, including BERT-based architectures and multimodal approaches. These advancements aim to enhance searchability, organization, and understanding of vast digital collections, ultimately benefiting researchers and the broader public by improving knowledge discovery and dissemination. The development of efficient and accurate unsupervised information extraction methods is also a key area of focus.