Fetching the paper…
Reading the bibliography…
Reading order detection is the cornerstone to understanding visually-rich documents (e.g., receipts and forms).
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2019 · 1910
Earlier work this paper cites.
Tablebank: Table benchmark for image-based table detection and recognition
Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, and Zhoujun Li. 2020b · 1925
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Bidimensional relations for reading order detection
Marco Aiello, A Smeulders, et al. 2003 · 2003
Earlier work this paper cites.
Docbank: A benchmark dataset for document layout analysis
Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, and Ming Zhou. 2020c · 2006
Earlier work this paper cites.
A data mining approach to reading order detection
M. Ceci, M. Berardi, G. Porcelli, and D. Malerba. 2007 · 2007
Earlier work this paper cites.
Learning to order: A relational approach
Donato Malerba and Michelangelo Ceci. 2007 · 2007
Cited alongside, same era.
Machine learning for reading order detection in document image understanding
Donato Malerba, Michelangelo Ceci, and Margherita Berardi. 2008 · 2008
Cited alongside, same era.
The significance of reading order in document recognition and its evaluation
C. Clausner, S. Pletschacher, and A. Antonacopoulos. 2013 · 2013
Cited alongside, same era.
Abstract argumentation for reading order detection
Stefano Ferilli, Domenico Grieco, Domenico Redavid, and Floriana Esposito. 2014 · 2014
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Extracting scientific figures with distantly supervised neural networks
Noah Siegel, Nicholas Lourie, Russell Power, and Waleed Ammar. 2018 · 2018
Later among the works it cites.
Unified language model pre-training for natural language understanding and generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019 · 2019
Later among the works it cites.
Publaynet: Largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, and Antonio Jimeno-Yepes. 2019 · 2019
Later among the works it cites.
An end-to-end ocr text re-organization sequence learning for rich-text detail image comprehension
Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, and Qi Zheng. 2020a · 2020
Later among the works it cites.
Layoutlm: Pre-training of text and layout for document image understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…