LMGDoc: Light Multigranular GNN for Efficient Document Understanding

LMGDoc: Light Multigranular GNN for Efficient Document Understanding

Document understanding is a critical task in extracting structured information from documents such as forms, receipts, and reports. Visually Rich Documents (VRDs) present unique challenges due to their complex layouts, heterogeneous content (text, tables, images), and diverse structural patterns. Wh...

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Bibliographic Details
Main Authors: Abdellatif Sassioui, Yasser Elouargui, Mohamed El Kamili, Rachid Benouini, El Mehdi Benyoussef, Meriyem Chergui, Mohammed Ouzzif
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Visually-rich document understanding
graph neural networks
key information extraction
document classification
Online Access:https://ieeexplore.ieee.org/document/10994464/
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https://ieeexplore.ieee.org/document/10994464/

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