Abstract: Text-based Visual Question Answering (TextVQA) focuses on answering questions about the scene text in images. Most works in this field uses transformer based models to modeling the ...
Note The agentic-doc Python library is now legacy. Please migrate to the new landingai-ade library, which is now the official Python library for Agentic Document Extraction and supports our newer API ...
A tool for extracting original text from, and patching translated text into, a variety of visual novel formats. Upgraded to .NET 8, now it can be compiled for linux, webassembly, etc.
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How Word Embeddings Work in Python RNNs?
Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand ...
WASHINGTON, Dec 9 (Reuters) - A U.S. judge on Tuesday cleared the Justice Department to release grand jury documents in the criminal case against Jeffrey Epstein associate Ghislaine Maxwell, who is in ...
AI-Enhanced Techniques for Extracting Structured Data from Unstructured Public Procurement Documents
Abstract: This paper presents a methodology for extracting and structuring procurement data from scanned Summary Minutes documents obtained from the Moroccan Public Procurement Portal. Leveraging web ...
Congressional leaders on Sunday released the text of the national defense and security package, the National Defense Authorization Act (NDAA). The budget for the Department of Defense is $8 billion ...
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