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document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

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Showing 31–40 of 309 papers

TitleStatusHype
Enhancing Visually-Rich Document Understanding via Layout Structure ModelingCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal LearningCode1
DocumentCLIP: Linking Figures and Main Body Text in Reflowed DocumentsCode1
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine ReadingCode1
Document Understanding Dataset and Evaluation (DUDE)Code1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
DocFormer: End-to-End Transformer for Document UnderstandingCode1
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
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