Information Extraction from Unstructured data using Augmented-AI and Computer Vision

T. Hassan, ”Intelligent text extraction from unstructured documents,” in IADIS International Conference, 2005

2005

Earlier work this paper cites.

J. Gantz and D. Reinsel, ”The digital universe in 2020: big data, bigger digital shadows, and biggest growth in the far east,” IDC iView IDC Analyze Future, vol. 2007, no. 2012, pp. 1-16, 2012

2012

Earlier work this paper cites.

R. K. Lomotey and R. Deters, ”Topics and terms mining in unstructured data stores,” in 2013 IEEE 16th International Conference on Computational Science and Engineering, 2013, pp. 854-861

2013

Earlier work this paper cites.

S. Boytcheva, G. Angelova, Z. Angelov, and D. Tcharaktchiev, ”Text mining and big data analytics for retrospective analysis of clinical texts from outpatient care,” Cybernetics and Information Technologies, vol. 15, no. 4, pp. 58-77, 2015

2015

Earlier work this paper cites.

C. Napoli, E. Tramontana, and G. Verga, ”Extracting location names from unstructured Italian texts using grammar rules and MapReduce,” in International Conference on Information and Software Technologies. Springer, 2016, pp. 593-601

2016

Cited alongside, same era.

S. Schreiber et al., ”DeepDeSRT: Deep learning for detection and structure recognition of tables in document images,” in 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017, pp. 1162-1167

2017

Cited alongside, same era.

K. Wang and Y. Shi, ”User information extraction in big data environment,” in 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017, pp. 2315-2318

2017

Cited alongside, same era.

Y. Wang, L. A. Kung, and T. A. Byrd, ”Big data analytics: understanding its capabilities and potential benefits for healthcare organizations,” Technological Forecasting and Social Change, vol. 126, pp. 3-13, 2018

2018

Later among the works it cites.

S. S. Paliwal et al., ”TableNet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images,” in 2019 International Conference on Document Analysis and Recognition (ICDAR), 2019, pp. 128-133

2019

Later among the works it cites.

Amazon Web Services, ”Amazon Textract Developer Guide,” 2019. [Online]. Available: https://docs.aws.amazon.com/textract/

2019

Later among the works it cites.