Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents-Reference-Cited by-同舟云学术

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Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents

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

Carbonell Manuel,Riba Pau,Villegas Mauricio,Fornes Alicia,Llados Josep

Funder

European Commission H2020 SME Instrument program

CERCA Programme / Generalitat de Catalunya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9411940/9411911/09412669.pdf?arnumber=9412669

Cited by 21 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. Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-Like Documents;Lecture Notes in Computer Science;2024

3. GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document Understanding;Lecture Notes in Computer Science;2024

4. EntityLayout: Entity-Level Pre-training Language Model for Semantic Entity Recognition and Relation Extraction;Lecture Notes in Computer Science;2024

5. One-Shot Transformer-Based Framework for Visually-Rich Document Understanding;Lecture Notes in Computer Science;2024

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