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Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractInformation extraction from documents such as receipts or invoices is a fundamental and crucial step for office automation. Many approaches focus on extracting entities and relationships from plain texts, however, …...

5615

Cost-effective End-to-end Information Extraction for Semi-structured Document Images

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractA real-world information extraction (IE) system for semi-structured document images often involves a long pipeline of multiple modules, whose complexity dramatically increases its development and maintenance cost. One can instead …...

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MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractDocument images are a ubiquitous source of data where the text is organized in a complex hierarchical structure ranging from fine granularity (e.g., words), medium granularity (e.g., regions such as …...

31051