BuDDIE: A Business Document Dataset for Multi-task Information Extraction

arXiv:2404.04003v1 Announce Type: new
Abstract: The field of visually rich document understanding (VRDU) aims to solve a multitude of well-researched NLP tasks in a multi-modal domain. Several datasets exist for research on specific tasks of VRDU such as document classification (DC), key entity extraction (KEE), entity linking, visual question answering (VQA), inter alia. These datasets cover documents like invoices and receipts with sparse annotations such that they support one or two co-related tasks (e.g., entity extraction and entity linking). Unfortunately, …

abstract arxiv business classification cs.cl dataset datasets document document understanding domain extraction information information extraction key modal multi-modal nlp question question answering research solve specific tasks tasks type understanding visual vqa