Titlebook: Document Analysis and Recognition – ICDAR 2023 Workshops; San José, CA, USA, A Mickael Coustaty,Alicia Fornés Conference proceedings 2023 T

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Electron Holography: AlAs/GaAs Superlatticesgnition, is ligatures. A combination of a specific two or more character sequence takes a different shape than what those characters normally look like when they appear in a similar position. Deep learning-based systems are widely used for text recognition these days. In this work, we investigate th

緩解

Hugh Rudnick,Constantin Velásquezble performance in addressing the task; however, most of these approaches rely on vast amounts of data from large-scale knowledge graphs or language models pretrained on voluminous corpora. In this paper, we hone in on the effective utilization of solely the knowledge supplied by a corpus to create

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condescend

Hugh Rudnick,Constantin Velásquezwas not left behind with first Transformer based models for DU dating from late 2019. However, the computational complexity of the self-attention operation limits their capabilities to small sequences. In this paper we explore multiple strategies to apply Transformer based models to long multi-page

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Final-drive/Differential and Axle Shafts,e-art results. In this paper, we propose KAP a pre-trained model adapted for the domain specificity for corporate documents. KAP takes into account the domain specificity of corporate documents and proposes a model that integrates the local context of each word (i.e the words at the top, bottom, and

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Macmillan Motor Vehicle Engineering Seriess always a challenging task. On the other hand, large volumes of public training datasets related to administrative documents such as invoices are rare to find. In this work, we use Graph Attention Network model for information extraction. This type of model makes it easier to understand the mechani