How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
IEEE

Advancements in Natural Language Processing: BERT and Transformer-Based Models for Text Understanding

Abstract: It looks at the improvements made in NLP achieved by transformer-based models, with special focus on BERT (i.e. Bidirectional Encoder Representations from Transformers), which have already ...
GitHub

FMOkit: A Python toolkit for the preparation and analysis of FMO calculations

FMOkit is a command-line toolkit written in Python for both preprocessing and postprocessing of Fragment Molecular Orbital(FMO) calculations. Generates GAMESS input files for FMO calculations from the ...
IEEE

Automated Document Processing: Combining OCR and Generative AI for Efficient Text Extraction and Summarization

Abstract: Technological advancement including the use of new media formats in creating digital documents calls for the development of enhanced processing techniques and methods. Old school Optical ...
Federal Register

Security Bars and Processing; Confirmation of Effective Date; Partial Withdrawal

FederalRegister.gov retrieves relevant information about this document from Regulations.gov to provide users with additional context. This information is not part of the official Federal Register ...
GitHub

Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation

We introduce Ascle, a pioneering natural language processing (NLP) toolkit designed for medical text generation. Ascle is tailored for biomedical researchers and healthcare professionals with an ...