“Nougat: Neural Optical Understanding for Academic Documents”, 2023-08-25 ():
[homepage] Scientific knowledge is predominantly stored in books and scientific journals, often in the form of PDFs. However, the PDF format leads to a loss of semantic information, particularly for mathematical expressions. We propose Nougat (Neural Optical Understanding for Academic Documents), a Visual Transformer model that performs an Optical Character Recognition (OCR) task for processing scientific documents into a markup language.
We demonstrate the effectiveness of our model on a new dataset of scientific documents.
The proposed approach offers a promising solution to enhance the accessibility of scientific knowledge in the digital age, by bridging the gap between human-readable documents and machine-readable text.
We release the models and code to accelerate future work on scientific text recognition.