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document understanding

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

Papers

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Showing 226–250 of 309 papers

TitleStatusHype
RDU: A Region-based Approach to Form-style Document Understanding—0
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
Delivering Document Conversion as a Cloud Service with High Throughput and ResponsivenessCode2
MATrIX -- Modality-Aware Transformer for Information eXtraction—0
MarkupLM: Pre-training of Text and Markup Language for Visually Rich Document UnderstandingCode0
XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding—0
DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering—0
Unified Pretraining Framework for Document Understanding—0
End-to-end Document Recognition and Understanding with DessurtCode1
Multimodal Pre-training Based on Graph Attention Network for Document UnderstandingCode1
Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods—0
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction—0
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document UnderstandingCode1
Hierarchical BERT for Medical Document Understanding—0
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document UnderstandingCode2
WebFormer: The Web-page Transformer for Structure Information Extraction—0
ERNIE-Layout: Layout-Knowledge Enhanced Multi-modal Pre-training for Document UnderstandingCode0
LoPE: Learnable Sinusoidal Positional Encoding for Improving Document Transformer Model—0
Efficient layout-aware pretraining for multimodal form understanding—0
Deeper Clinical Document Understanding Using Relation ExtractionCode0
Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
UniDoc: Unified Pretraining Framework for Document Understanding—0
OCR-free Document Understanding TransformerCode3
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation—0
PSG: Prompt-based Sequence Generation for Acronym Extraction—0
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