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IEEE/ICACT20240477 Slide.02        [Big Slide]       [YouTube]	Oral Presentation
	The paper presents the application of the LayoutLM model to automatically extract information from complexly organized texts and examines the significance of effective information retrieval in many fields. A subset of the RVL-CDIP dataset, including 400,000 photos arranged into 16 classes with a cap of 200 images per class, is the subject of this study. There are three sets of the dataset: training, validation, and testing. The papers are categorized using LayoutLMv2 and version 1, with accuracy rates of 80.94% and 68.75%, respectively. The study shows how well LayoutLM analyzes and comprehends a variety of document forms and contents.

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