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Table Extraction
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Table extraction involves detecting and recognizing a table's logical structure and content from its unstructured presentation within a document
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents
RAPTOR: Refined Approach for Product Table Object Recognition
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry
PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction
PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction
tabulapdf: An R Package to Extract Tables from PDF Documents
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
Financial Table Extraction in Image Documents
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
Schema-Driven Information Extraction from Heterogeneous Tables
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents
CTE: A Dataset for Contextualized Table Extraction
Deep learning for table detection and structure recognition: A survey
A two-stage approach for table extraction in invoices
Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
Modelling the semantics of text in complex document layouts using graph transformer networks
PubTables-1M: Towards comprehensive table extraction from unstructured documents
ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations
Flexible Table Recognition and Semantic Interpretation System
TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
Tablext: A Combined Neural Network And Heuristic Based Table Extractor
Web Table Classification based on Visual Features
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
GFTE: Graph-based Financial Table Extraction
Web Table Extraction, Retrieval and Augmentation: A Survey
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
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