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Table Extraction

Table extraction involves detecting and recognizing a table's logical structure and content from its unstructured presentation within a document

Papers

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Showing 21–30 of 32 papers

TitleStatusHype
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning—0
TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables—0
Tablext: A Combined Neural Network And Heuristic Based Table Extractor—0
tabulapdf: An R Package to Extract Tables from PDF Documents—0
Web Table Classification based on Visual Features—0
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents—0
ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and DissertationsCode0
QUEST: Quality-aware Semi-supervised Table Extraction for Business DocumentsCode0
PdfTable: A Unified Toolkit for Deep Learning-Based Table ExtractionCode0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
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