Publication details
Contract Metadata Identification in Czech Scanned Documents
| Authors | |
|---|---|
| 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 | |
| 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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