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Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysis
March 8, 2024, 5:45 a.m. | Abdelrahman Abdallah, Daniel Eberharter, Zoe Pfister, Adam Jatowt
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper presents a comprehensive survey of research works on the topic of form understanding in the context of scanned documents. We delve into recent advancements and breakthroughs in the field, highlighting the significance of language models and transformers in solving this challenging task. Our research methodology involves an in-depth analysis of popular documents and forms of understanding of trends over the last decade, enabling us to offer valuable insights into the evolution of this …
abstract analysis arxiv context cs.cl cs.cv document documents form highlighting language language models paper research review significance survey transformers type understanding
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