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Extracting key information from documents, such as receipts or invoices, and preserving the interested texts to structured data is crucial in the document-intensive streamline processes of office automation in areas that includes but not limited to accounting, financial, and taxation areas.
smartfix: A requirements-driven system for document analysis and understanding
A. Dengel and B. Klein · 2002
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Automatic indexing of scanned documents - a layout-based approach
D. Esser, D. Schuster, K. Muthmann, and A. Schill · 2012
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Intellix - end-user trained information extraction for document archiving
D. Schuster, K. Muthmann, D. Esser, A. Schill, M. Berger, C. Weidling, K. Aliyev, and A. Hofmeier · 2013
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Semantic image segmentation with deep convolutional nets and fully connected crfs
L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2014
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L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
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Cloudscan - A configuration-free invoice analysis system using recurrent neural networks
R. B. Palm, O. Winther, and F. Laws · 2017
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A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
https://github.com/google-research/bert
BERT
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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BERT: pre-training of deep bidirectional transformers for language understanding
J. Devlin, M. Chang, K. Lee, and K. Toutanova · 2018
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Deep high-resolution representation learning for human pose estimation, 2019
K. Sun, B. Xiao, D. Liu, and J. Wang · 2019
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