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Enterprise documents such as forms, invoices, receipts, reports, contracts, and other similar records, often carry rich semantics at the intersection of textual and spatial modalities.
Building a test collection for complex document information processing
D. Lewis, G. Agam, S. Argamon, O. Frieder, D. Grossman, and J. Heard · 2006
Earlier work this paper cites.
Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang · 2015
Earlier work this paper cites.
Evaluation of deep convolutional nets for document image classification and retrieval
Adam W. Harley, Alex Ufkes, and Konstantinos G. Derpanis · 2015
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Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova · 2019
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Earlier work this paper cites.
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Earlier work this paper cites.
Icdar2019 competition on scanned receipt ocr and information extraction
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ICDAR 2019 competition on scene text visual question answering
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Glu variants improve transformer, 2020
Noam Shazeer · 2020
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Tabfact: A large-scale dataset for table-based fact verification
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, and William Yang Wang · 2020
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Deepform: Understand structured documents at scale
Stacey Svetlichnaya · 2020
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AxCell: Automatic extraction of results from machine learning papers
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, and Robert Stojnic · 2020
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