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document understanding

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

Papers

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Showing 131–140 of 309 papers

TitleStatusHype
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
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction—0
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc—0
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content—0
A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications—0
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction—0
Finding Pragmatic Differences Between Disciplines—0
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