Challenges of Automatic Document Processing with Historical Data

Author:

Vilkomir Katerina1ORCID,Herndon Nic1ORCID

Affiliation:

1. East Carolina University, Greenville, North Carolina, USA

Publisher

ACM

Reference39 articles.

1. [n. d.]. The Evolution of the English Spelling System. https://www.timetoast.com/timelines/the-evolution-of-the-english-spelling-system

2. Riaz Ahmad, Muhammad Tanvir Afzal, and Muhammad Abdul Qadir. 2016. Information Extraction from PDF Sources Based on Rule-based System Using Integrated Formats. In Semantic Web Challenges: Third SemWebEval Challenge at ESWC 2016, Heraklion, Crete, Greece, May 29-June 2, 2016, Revised Selected Papers 3. Springer, Crete, Greece, 293--308.

3. A deep learning framework for historical manuscripts writer identification using data-driven features

4. Historical document layout analysis using anisotropic diffusion and geometric features

5. Marcel Bollmann. 2019. A Large-scale Comparison of Historical Text Normalization Systems. arXiv preprint arXiv:1904.02036 (2019).

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