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Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i.e., semantic entity), while the relations in-between are largely unexplored.
Tablebank: Table benchmark for image-based table detection and recognition
Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, and Zhoujun Li. 2019a · 1903
Earlier work this paper cites.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 1907
Earlier work this paper cites.
Publaynet: largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, and Antonio Jimeno-Yepes. 2019b · 1908
Earlier work this paper cites.
Image-based table recognition: data, model, and evaluation
Xu Zhong, Elaheh ShafieiBavani, and Antonio Jimeno Yepes. 2019a · 1911
Earlier work this paper cites.
Kleister: A novel task for information extraction involving long documents with complex layout
Filip Graliński, Tomasz Stanisławek, Anna Wróblewska, Dawid Lipiński, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, and Przemysław Biecek. 2020 · 2003
Earlier work this paper cites.
Wenwen Yu, Ning Lu, Xianbiao Qi, Ping Gong, and Rong Xiao. 2020b · 2004
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. 2020 · 2006
Earlier work this paper cites.
A unified architecture for natural language processing: deep neural networks with multitask learning
Ronan Collobert and Jason Weston. 2008 · 2008
Earlier work this paper cites.
Layoutlmv2: Multi-modal pre-training for visually-rich document understanding
Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, et al. 2020a · 2012
Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Cited alongside, same era.
Simple and accurate dependency parsing using bidirectional LSTM feature representations
Eliyahu Kiperwasser and Yoav Goldberg. 2016 · 2016
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D Manning. 2017 · 2017
Cited alongside, same era.
An improved neural network model for joint POS tagging and dependency parsing
Dat Quoc Nguyen and Karin Verspoor. 2018 · 2018
Later among the works it cites.
Funsd: A dataset for form understanding in noisy scanned documents
H. Kemal Ekenel G. Jaume and J. Thiran. 2019 · 2019
Later among the works it cites.
Eaten: Entity-aware attention for single shot visual text extraction
He Guo, Xiameng Qin, Jiaming Liu, Junyu Han, Jingtuo Liu, and Errui Ding. 2019 · 2019
Later among the works it cites.
ICDAR2019 competition on scanned receipt OCR and information extraction
Zheng Huang, Kai Chen, Jianhua He, Xiang Bai, Dimosthenis Karatzas, Shijian Lu, and C. V. Jawahar. 2019 · 2019
Later among the works it cites.
Graph convolution for multimodal information extraction from visually rich documents
Xiaojing Liu, Feiyu Gao, Qiong Zhang, and Huasha Zhao. 2019a · 2019
Later among the works it cites.
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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.
Dependency or span, end-to-end uniform semantic role labeling
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, and Xiang Zhou. 2019b
Cited in the paper.
Layoutlm: Pre-training of text and layout for document image understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou. 2020b
Cited in the paper.
Named entity recognition as dependency parsing
Juntao Yu, Bernd Bohnet, and Massimo Poesio. 2020a
Cited in the paper.
Manuel Carbonell, Pau Riba, Mauricio Villegas, Alicia Fornés, and Josep Lladós. 2021 · 2020
Later among the works it cites.
Representation learning for information extraction from form-like documents
Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao, and Marc Najork. 2020 · 2020
Later among the works it cites.
Robust layout-aware IE for visually rich documents with pre-trained language models
Mengxi Wei, Yifan He, and Qiong Zhang. 2020 · 2020
Later among the works it cites.