HTML Document

HTML documents, the foundational structure of web pages, are the subject of ongoing research focused on improving their automated processing and understanding. Current efforts concentrate on developing robust methods for information extraction from diverse HTML structures, particularly tables, using techniques like tree-structured LSTMs and multi-model approaches combining NLP and MLP architectures. This research is driven by the need for efficient web data analysis and the creation of more intelligent web applications, impacting fields ranging from web search and question answering to cybersecurity (phishing detection) and web development (automated code generation from screenshots). The development of large-scale datasets and pre-trained models, such as those based on transformers, is significantly advancing the field.