TableParser

Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at SDU@AAAI-22

• TableParser
  • 1. Clone repositories
  • 2. System components of TableParser
  • 3. References

1. Clone repositories

Download and install a git client and clone this repository:

git clone git@github.com:DS3Lab/TableParser.git

into <git-home> directory. (home directory is denoted as git-home furtheron).

2. System components of TableParser

• System overview of the TableParser pipeline

  This browser does not support PDFs. Please download the PDF to view it: the TableParser pipeline.

• Model overview of Mask RCNN in DocParser

  This browser does not support PDFs. Please download the PDF to view it: Mask-RCNN.

  • TableAnnotator: refer to this repo.
    • Demo of annotating a table using TableAnnotator
  • ExcelAnnotator: ./ExcelAnnotator.
  • TableParser pipelines: ./TableParser.
  • Data: Download from this Google Drive link.
  • TableParser M1 (ModernTableParser) and M2 (HistoricalTableParser) can be downloaded from this Google Drive link, and put under ./TableParser/TableParser/detectron2/tools/docparser_outputs.

  3. References

  To cite TableParser, refer to these items:

  @inproceedings{rausch2021docparser,
    title={DocParser: Hierarchical Document Structure Parsing from Renderings},
    author={Rausch, Johannes and Martinez, Octavio and Bissig, Fabian and Zhang, Ce and Feuerriegel, Stefan},
    booktitle={35th AAAI Conference on Artificial Intelligence (AAAI-21)(virtual)},
    howpublished = {\url{https://arxiv.org/abs/1911.01702}},
    year={2021}
  }

  @inproceedings{rao2022tableparser,
    title={TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets},
    author={Rao, Susie Xi and Rausch, Johannes and Egger, Peter and Zhang, Ce},
    booktitle={Scientific Document Understanding Workshop (SDU{@}AAAI-22)(virtual)},
    howpublished = {\url{https://arxiv.org/abs/2201.01654}},
    year={2022}
  }