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document understanding

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

Papers

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Showing 241–250 of 309 papers

TitleStatusHype
Génération de question à partir d’analyse sémantique pour l’adaptation non supervisée de modèles de compréhension de documents (Question generation from semantic analysis for unsupervised adaptation of document understanding models)—0
MATrIX -- Modality-Aware Transformer for Information eXtraction—0
MarkupLM: Pre-training of Text and Markup Language for Visually Rich Document UnderstandingCode0
DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering—0
XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding—0
Unified Pretraining Framework for Document Understanding—0
Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods—0
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction—0
Hierarchical BERT for Medical Document Understanding—0
WebFormer: The Web-page Transformer for Structure Information Extraction—0
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