Using Artificial Intelligence to Capture Tabular Data in Mining Document at Scale

References

1. Aristarán, M., Tigas, M. and Merill, J.B.
   Tabula is a tool for liberating data tables trapped inside PDF files. https://gitHub.com/tabulapdf/tabula
   [Google Scholar]
2. Blondelle, H. and Micaelli, J.
   [2018]. Machine Learning to Support Technical Document Indexing, How to Measure The Accuracy?First EAGE/PESGB Workshop Machine Learning, Nov 2018, Volume 2018, p.1–3
   [Google Scholar]
3. Blondelle, H., Micaelli, J. and Neri, P.
   [2018]. Machine Learning to support technical document indexing, a case study on seismic acquisition reports. 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1–5
   [Google Scholar]
4. Blondelle, H., Kaur, P. and Micaelli, J.
   [2019]. Extracting and Classifying Graphic Information from Geoscience Unstructured Documents Using Deep Learning Based Computer Vision Approaches.81st EAGE Conference and Exhibition 2019 Workshop Programme, Jun 2019, Volume 2019, p.1–5.
   [Google Scholar]
5. Chen, S.T.H. and Tsai, J.
   [2000]. Mining tables from largescale html texts.InInProc. 18th Int’l Conf. Computational Liguistics, Saarbrucken, Germany, 2000.
   [Google Scholar]
6. Gilani, A., Qasim, S.R., Malik, I. and Shafait, F.
   [2017]. Table Detection Using Deep Learning. 10.1109 / ICDAR.2017.131.
   [Google Scholar]
7. Hu, J. and Wang, J.
   [2002]. A machine learning based approach for table detection on the web. WWW’02, pages 242–250, Nov 2002.
   [Google Scholar]
8. Johnston, J., Juneja, A. and Micaelli, J.
   [2016]. Method and system for extracting, verifying and cataloging technical information from unstructured documents. US Patent 10521464 Agile Data Decisions.
   [Google Scholar]
9. Liu, Y.
   [2009]. TABLESEER: Automatic table extraction, search and understanding. Dissertation, Pennsylvania State University, Department of Information Sciences and Technology.
   [Google Scholar]
10. Liu, Y., Prasenjit, M. and Giles, C. L.
    [2008]. Identifying Table Boundaries in Digital Documents via Sparse Line Detection. Pennsylvania State University, CIKM ‘08: Proceedings of the 17th ACM conference on Information and knowledge managementOctober 2008 Pages 1311–1320.
    [Google Scholar]
11. Nurminen, A.
    [2013]. Algorithmic extraction of data in tables in PDF documents. Master’s Thesis, Tampere University of Technology.
    [Google Scholar]