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document understanding

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

Papers

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Showing 211–220 of 309 papers

TitleStatusHype
Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding—0
DLUE: Benchmarking Document Language Understanding—0
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
Two to Five Truths in Non-Negative Matrix Factorization—0
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction—0
Revisiting Table Detection Datasets for Visually Rich Documents—0
Information Redundancy and Biases in Public Document Information Extraction BenchmarksCode0
What Makes a Good Dataset for Symbol Description Reading?—0
PDFVQA: A New Dataset for Real-World VQA on PDF Documents—0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
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