Form2Seq-Data / Dataset

Dataset corresponding to the paper: "Form2Seq : A Framework for Higher-Order Form Structure Extraction"

Dataset

Repo to share data used in the paper "Form2Seq : A Framework for Higher-Order Form Structure Extraction" accepted at EMNLP 2020: Paper link

A part of the dataset is now available here: Data link

Please cite our papers if you use the data in the above link.

{
@inproceedings{aggarwal-etal-2020-form2seq,
    title = "{F}orm2{S}eq : A Framework for Higher-Order Form Structure Extraction",
    author = "Aggarwal, Milan  and
      Gupta, Hiresh  and
      Sarkar, Mausoom  and
      Krishnamurthy, Balaji",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.emnlp-main.314",
    doi = "10.18653/v1/2020.emnlp-main.314",
    pages = "3830--3840"
}

{
  @inproceedings{sarkar2020document,
  title={Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation},
  author={Sarkar, Mausoom and Aggarwal, Milan and Jain, Arneh and Gupta, Hiresh and Krishnamurthy, Balaji},
  booktitle={European Conference on Computer Vision},
  pages={649--666},
  year={2020},
  organization={Springer}
}

{
  @inproceedings{aggarwal2020multi,
  title={Multi-Modal Association based Grouping for Form Structure Extraction},
  author={Aggarwal, Milan and Sarkar, Mausoom and Gupta, Hiresh and Krishnamurthy, Balaji},
  booktitle={The IEEE Winter Conference on Applications of Computer Vision},
  pages={2075--2084},
  year={2020}
}

This dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.