BROS GitHub: https://github.com/clovaai/bros Introduction BROS (BERT Relying On Spatiality) is a pre trained language model focusing on text and layout for better key information extraction from documents. Given the OCR results of the document image, which are text and bounding box pairs, it can perform various key information extraction tasks, such as extracting an ordered item list from receipts. For more details, please refer to our paper: BROS: A Pre trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park AAAI 2022 Main Technical Track [[arXiv]](https://arxiv.org/abs/2108.04539) Pre trained models name params Hugging Face Models : bros base uncased ( this ) < 110M naver clova ocr/bros base uncased bros large uncased < 340M naver clova ocr/bros large uncased
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