PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks-Reference-Cited by-同舟云学术

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PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

Published:2021-01-10 Issue: Volume: Page:
ISSN:
Container-title:2020 25th International Conference on Pattern Recognition (ICPR)
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Author:

Yu Wenwen,Lu Ning,Qi Xianbiao,Gong Ping,Xiao Rong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9411940/9411911/09412927.pdf?arnumber=9412927

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning approaches for information extraction from visually rich documents: datasets, challenges and methods;International Journal on Document Analysis and Recognition (IJDAR);2024-07-29

2. Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Security to text (S2T): multi-layered based security approaches for secret text content;Multimedia Tools and Applications;2024-06-19

4. Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports;Machine Learning and Knowledge Extraction;2024-06-18

5. A machine learning driven automated system for safety data sheet indexing;Scientific Reports;2024-02-22

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