ML Anthology

Information Extraction from Text Regions with Complex Tabular Structure

Kaixuan Zhang, Zejiang Shen, Jie Zhou, Melissa Dell
NeurIPSW 2019
/neuripsw/2019/zhang2019neuripsw-information/

Abstract

Recent innovations have improved layout analysis of document images, significantly improving our ability to identify text and non-text regions. However, extracting information from within text regions remains quite challenging because the text region may have a complex structure. In this paper, we present a new dataset with complex text structure, and propose new methods to robustly retrieve information from the complex text region.

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Cite

Text

Zhang et al. "Information Extraction from Text Regions with Complex Tabular Structure." NeurIPS 2019 Workshops: Document_Intelligence, 2019.

Markdown

[Zhang et al. "Information Extraction from Text Regions with Complex Tabular Structure." NeurIPS 2019 Workshops: Document_Intelligence, 2019.](https://mlanthology.org/neuripsw/2019/zhang2019neuripsw-information/)

BibTeX

@inproceedings{zhang2019neuripsw-information,
  title     = {{Information Extraction from Text Regions with Complex Tabular Structure}},
  author    = {Zhang, Kaixuan and Shen, Zejiang and Zhou, Jie and Dell, Melissa},
  booktitle = {NeurIPS 2019 Workshops: Document_Intelligence},
  year      = {2019},
  url       = {https://mlanthology.org/neuripsw/2019/zhang2019neuripsw-information/}
}