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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
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
XDoc: Unified Pre-training for Cross-Format Document UnderstandingCode0
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like DocumentsCode1
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text—0
Improving Keyphrase Extraction with Data Augmentation and Information Filtering—0
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural NetworksCode1
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc—0
Understanding Long Documents with Different Position-Aware Attentions—0
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