Visual information extraction (VIE) from visually rich documents remains challenging due to high layout variability and real-world impairments. Existing methods typically rely on sequential OCR ...
Accurate classification of cancer-related biomedical abstracts is critical for advancing cancer informatics and supporting decision-making in healthcare research. Yet progress in this domain is often ...
If your team is still processing documents manually, tagging PDFs, entering invoice data, and copy-pasting from contracts, you already know how much time and accuracy it costs you. That's where ...
One former Air Force leader anticipates that there are a plethora of additional ways that artificial intelligence (AI) and large language models (LLMs) can assist crews in accomplishing their tasks ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...
NBC Select independently determines what we cover and recommend. When you click on or buy through our links, we earn a commission. Learn more. Bethany Heitman Contributing Editor We don’t always have ...
Abstract: Document classification is a challenging research problem in Document image analysis, majorly the presence of degradations like low illumination, blur, and shadows. In this paper, a deep ...
When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...
To make the process of filing for Social Security benefits easier, it’s important to know what documents you need when applying. Here’s a directive from the Social Security website: “You must present ...
Lawmakers in the Senate have renewed efforts to modernize the federal government’s document classification system, which officials claim is antiquated and impedes both transparency and cross-agency ...
The objective in eXtreme Classification (XC) is to find relevant labels for a document from an exceptionally large label space. Most XC application scenarios have rich auxiliary data associated with ...