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added doc-annotation permission
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TableParser/README.md

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## 1. Project goal
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To design a TableParser based on the DocParser, which deals with all sorts of tables (scanned, automatically generated) in a robust way.
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1. We also make the [TableAnnotator GUI](https://anonymous.4open.science/r/doc_annotation-SDU-AAAI22/README.md) openly accessible where users can visualize their outputs easily, make adjustments, and export in a json/csv file. For the open-source dataset, see [here](https://drive.google.com/file/d/1gaaHMG6f7sIH1DK4Ybg13_lBHNS2wbbn/view?usp=sharing) for download. For our ExcelAnnotator, see [here](https://anonymous.4open.science/r/ExcelAnnotator-D8E5/Readme.md).
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1. We also make the [TableAnnotator GUI](https://github.com/susierao/doc_annotation) (write to srao@ethz.ch to ask for access) openly accessible where users can visualize their outputs easily, make adjustments, and export in a json/csv file. For the open-source dataset, see [here](https://drive.google.com/file/d/1gaaHMG6f7sIH1DK4Ybg13_lBHNS2wbbn/view?usp=sharing) for download. For our ExcelAnnotator, see [here](https://anonymous.4open.science/r/ExcelAnnotator-D8E5/Readme.md).
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2. We also provide our pretrained model for new domain adaptation, so that users can fine tune the model with their in-domain tables (under `pretrained_models').
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## 4. Google Vision OCR => TableParser
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- Getting OCR bounding boxes, see`./preprocessing/google-vision-bbox.ipynb`
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- Adding row/column: We also used the postprocessing script to add row/columns and then manually curated the files. see `./preprocessing/adding_col_row_ranges_after_manual.ipynb` for details.
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- Adding row/column: We also used the postprocessing script to add row/columns and then manually curated the files. see `./preprocessing/adding_col_row_ranges_after_manual.ipynb` for details.

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