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document understanding

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

Papers

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Showing 126–150 of 309 papers

TitleStatusHype
Improving Clinical Document Understanding on COVID-19 Research with Spark NLPCode0
Long-Range Transformer Architectures for Document UnderstandingCode0
Hypergraph based Understanding for Document Semantic Entity RecognitionCode0
Machine Unlearning for Document ClassificationCode0
Bidirectional Context-Aware Hierarchical Attention Network for Document UnderstandingCode0
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document UnderstandingCode0
Learned Compression for Compressed LearningCode0
HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in HanjaCode0
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata ExtractionCode0
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document UnderstandingCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
Knowing Where and What: Unified Word Block Pretraining for Document UnderstandingCode0
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document UnderstandingCode0
MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document UnderstandingCode0
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document UnderstandingCode0
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document UnderstandingCode0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of TricksCode0
Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural NetworkCode0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—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
BERT-AL: BERT for Arbitrarily Long Document Understanding—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
Friendly Topic Assistant for Transformer Based Abstractive Summarization—0
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review—0
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