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TableBank: Table Benchmark for Image-based Table Detection and Recognition
Li, M.; Cui, L.; Huang, S.; Wei, F.; Zhou, M.; and Li, Z. 2019 · 1903
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Efficientnet: Rethinking model scaling for convolutional neural networks
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Combining visual and textual features for information extraction from online flyers
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The Fourth Annual Test of OCR Accuracy
Rice, S. V.; Jenkins, F. R.; and Nartker, T. A. 1995 · 1995
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The T-Recs Table Recognition and Analysis System
Kieninger, T.; and Dengel, A. 1998 · 1998
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Mining Tables from Large Scale HTML Texts
Chen, H.-H.; Tsai, S.-C.; and Tsai, J.-H. 2000 · 2000
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Layout and Language: Integrating Spatial and Linguistic Knowledge for Layout Understanding Tasks
Hurst, M.; and Nasukawa, T. 2000 · 2000
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LAMBERT: Layout-Aware language Modeling using BERT for information extraction
Garncarek, Ł.; Powalski, R.; Stanisławek, T.; Topolski, B.; Halama, P.; and Graliński, F. 2020 · 2002
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Learning Table Extraction from Examples
Tengli, A.; Yang, Y.; and Ma, N. L. 2004 · 2004
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Table Structure Understanding and its Performance Evaluation
Wang, Y.; Phillips, I. T.; and Haralick, R. M. 2004 · 2004
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A Survey of Table Recognition
Zanibbi, R.; Blostein, D.; and Cordy, J. 2004 · 2004
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pdf2table: A Method to Extract Table Information from PDF Files
Yildiz, B.; Kaiser, K.; and Miksch, S. 2005 · 2005
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Table-processing Paradigms: A Research Survey
Embley, D. W.; Hurst, M.; Lopresti, D.; and Nagy, G. 2006 · 2006
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Transforming Arbitrary Tables into Logical Form with TARTAR
Pivk, A.; Cimiano, P.; Sure, Y.; Gams, M.; Rajkovič, V.; and Studer, R. 2007 · 2007
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Direct and reverse synchronization with SyncTEX
Laurens, J. 2008 · 2008
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A Realistic Dataset for Performance Evaluation of Document Layout Analysis
Antonacopoulos, A.; Bridson, D.; Papadopoulos, C.; and Pletschacher, S. 2009 · 2009
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The pascal visual object classes (voc) challenge
Everingham, M.; Van Gool, L.; Williams, C. K.; Winn, J.; and Zisserman, A. 2010 · 2010
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Knowledge-based Weak Supervision for Information Extraction of Overlapping Relations
Hoffmann, R.; Zhang, C.; Ling, X.; Zettlemoyer, L.; and Weld, D. S. 2011 · 2011
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Sentence Subjectivity Detection With Weakly-Supervised Learning
Lin, C.; He, Y.; and and Everson Richard. 2011 · 2011
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The ACL Anthology Searchbench
Schäfer, U.; Kiefer, B.; Spurk, C.; Steffen, J.; and Wang, R. 2011 · 2011
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Logical Structure Recovery in Scholarly Articles with Rich Document Features
Luong, M.-T.; Nguyen, T. D.; and Kan, M.-Y. 2012 · 2012
Table Detection using Deep Learning
Gilani, A.; Qasim, S. R.; Malik, I.; and Shafait, F. 2017 · 2017
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Mask R-CNN
He, K.; Gkioxari, G.; Dollár, P.; and Girshick, R. 2017 · 2017
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Feature Pyramid Networks for Object Detection
Lin, T. Y.; Dollár, P.; Girshick, R.; He, K.; Hariharan, B.; and Belongie, S. 2017 · 2017
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Table Detection in Document Images using Foreground and Background Features
Arif, S.; and Shafait, F. 2018 · 2018
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Weakly Supervised Semantic Parsing with Abstract Examples
Goldman, O.; Latcinnik, V.; Nave, E.; Globerson, A.; and Berant, J. 2018 · 2018
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Chargrid: Towards Understanding 2D Documents
Katti, A. R.; Reisswig, C.; Guder, C.; Brarda, S.; Bickel, S.; Höhne, J.; and Faddoul, J. B. 2018 · 2018
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Cited alongside, same era.
Combining OCR Outputs for Logical Document Structure Markup: Technical Background to the ACL 2012 Contributed Task
Schäfer, U.; and Weitz, B. 2012 · 2012
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ICDAR 2013 Table Competition
Gobel, M.; Hassan, T.; Oro, E.; and Orsi, G. 2013 · 2013
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Understanding Tables in Context Using Standard NLP Toolkits
Govindaraju, V.; Zhang, C.; and Ré, C. 2013 · 2013
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Algorithmic Extraction of Data in Tables in PDF Documents
Nurminen, A. 2013 · 2013
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Sprinkling Topics For Weakly Supervised Text Classification
Hingmire, S.; and Chakraborti, S. 2014 · 2014
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Microsoft COCO: Common Objects in Context
Lin, T. Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; and Zitnick, C. L. 2014 · 2014
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Learning Concept Abstractness using Weak Supervision
Rabinovich, E.; Sznajder, B.; Spector, A.; Shnayderman, I.; Aharonov, R.; Konopnicki, D.; and Slonim, N. 2018 · 2018
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DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images
Schreiber, S.; Agne, S.; Wolf, I.; Dengel, A.; and Ahmed, S. 2018 · 2018
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DeCNT: Deep Deformable CNN for Table Detection
Siddiqui, S. A.; Malik, M. I.; Agne, S.; Dengel, A.; and Ahmed, S. 2018 · 2018
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Centernet: Keypoint triplets for object detection
Duan, K.; Bai, S.; Xie, L.; Qi, H.; Huang, Q.; and Tian, Q. 2019 · 2019
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Graph Convolution for Multimodal Information Extraction from Visually Rich Documents
Liu, X.; Gao, F.; Zhang, Q.; and Zhao, H. 2019 · 2019
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Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
Pröllochs, N.; Feuerriegel, S.; and Neumann, D. 2019 · 2019
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Rethinking table recognition using graph neural networks
Qasim, S. R.; Mahmood, H.; and Shafait, F. 2019 · 2019
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Publaynet: largest dataset ever for document layout analysis
Zhong, X.; Tang, J.; and Yepes, A. J. 2019 · 2019
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