Spatial Dependency Parsing for Semi-Structured Document Information Extraction-Reference-Cited by-同舟云学术

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Spatial Dependency Parsing for Semi-Structured Document Information Extraction

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
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Author:

Hwang Wonseok,Yim Jinyeong,Park Seunghyun,Yang Sohee,Seo Minjoon

Publisher

Association for Computational Linguistics

Cited by 36 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. Key Information Extraction and Recognition from Rich Text Images;Vietnam Journal of Computer Science;2024-06-22

4. CAM-GUI: A Conversational Assistant on Mobile GUI;Communications in Computer and Information Science;2024

5. A Robust Component-Based Template Matching Approach Using Document Layout Graph for Extracting Information;Lecture Notes in Computer Science;2024

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