Contract Metadata Identification in Czech Scanned Documents

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Authors

HA Hien Thi HORÁK Aleš MINH TUAN BUi

Year of publication 2021
Type Article in Proceedings
Conference Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
MU Faculty or unit

Faculty of Informatics

Citation
Web https://www.scitepress.org/PublicationsDetail.aspx?ID=Alw3hhTLE1M=&t=1
Doi http://dx.doi.org/10.5220/0010243807950802
Keywords Information Extraction; Scanned Documents; Document Metadata; Contract Metadata Extraction; Czech
Description Although nowadays digital-born documents are generally prevalent, exchange of business documents often consists in processing their scanned image form as a general human-readable format with one-to-one correspondence to paper documents. Bulk processing of such scanned documents then requires human intervention to extract and enter the main document metadata. In this paper, we present the design and evaluation of a contract processing module in the OCRMiner system. The information extraction process allows to combine layout properties with text analysis as input to a rule-based extraction with confidence score propagation. The first results are evaluated with public Czech contract documents reaching the item extraction accuracy of almost 88%.
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