Key Information Extraction

Key Information Extraction (KIE) focuses on automatically identifying and extracting structured information from documents, aiming to automate tasks like document processing and data analysis. Current research emphasizes multimodal approaches, leveraging text, layout, and visual features, often employing transformer-based models like LayoutLM and incorporating techniques such as graph convolutional networks and vision grounding to improve accuracy and handle complex layouts. This field is crucial for various applications, including business process automation, legal tech, and financial analysis, with recent work highlighting the need for robust models that generalize well across diverse document types and handle noisy data, including OCR errors.