表格解析资源综述

• https://github.com/shahrukhqasim/TIES-2.0
• Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)
• TIES was my undergraduate thesis, Table Information Extraction System. I picked the name from there and made it 2.0 from there.
• https://github.com/Irene323/GFTE
• A GCN-based table structure recognition method, which integrates position feature, text feature and image feature together.
• https://github.com/jainammm/TableNet
• About Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
• https://github.com/eihli/image-table-ocr
• Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.
• https://github.com/HazyResearch/TreeStructure
• Fonduer has been successfully extended to perform information extraction from richly formatted data such as tables. A crucial step in this process is the construction of the hierarchical tree of context objects such as text blocks, figures, tables, etc. The system currently uses PDF to HTML conversion provided by Adobe Acrobat converter. Adobe Acrobat converter is not an open source tool and this can be very inconvenient for Fonduer users. We therefore need to build our own module as replacement to Adobe Acrobat. Several open source tools are available for pdf to html conversion but these tools do not preserve the cell structure in a table. Our goal in this project is to develop a tool that extracts text, figures and tables in a pdf document and maintains the structure of the document using a tree data structure.
• https://github.com/mawanda-jun/TableTrainNet
• Table recognition inside douments using neural networks
• https://github.com/doc-analysis/TableBank
• TableBank is a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet, contains 417K high-quality labeled tables.
• https://github.com/cseas/ocr-table
• This project aims to extract tables from scanned image PDFs using Optical Character Recognition.
• https://github.com/eihli/image-table-ocr
• Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.

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