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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
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry—0
Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices—0
Financial Table Extraction in Image Documents—0
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context—0
Modelling the semantics of text in complex document layouts using graph transformer networks—0
PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents—0
RAPTOR: Refined Approach for Product Table Object Recognition—0
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
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