Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/27398
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Krpachovska, Marija | en_US |
dc.contributor.author | Mirceva, Georgina | en_US |
dc.date.accessioned | 2023-08-15T08:37:01Z | - |
dc.date.available | 2023-08-15T08:37:01Z | - |
dc.date.issued | 2023-07 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/27398 | - |
dc.description.abstract | Given the rapid advancement of technology over the past decades, the digitalization of repetitive processes is inevitable and for most parts of the world, it is already a reality. With the possibilities to make the execution of everyday tasks quicker, more precise, less expensive, and overall more efficient, it is not surprising that so many companies and institutions have already started transforming their processes to take full advantage of the benefits that current technology has to offer. Despite all this, when it comes to process automation in Macedonia there are still many areas in which there is room for further development. The purpose of this paper is to explore the possibilities, as well as the limitations that current technology has to offer in regard to processing PDF documents written in Macedonian language, more specifically focusing on Hipbath Document Understanding. | en_US |
dc.publisher | Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia | en_US |
dc.relation.ispartofseries | CIIT 2023 papers;23; | - |
dc.subject | UiPath, RPA, PDF, automation, digitalization, document understanding, business process, workflow, package, JSON | en_US |
dc.title | Processing PDF Documents Written in Macedonian Language Using UiPath Document Understanding | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 20th International Conference on Informatics and Information Technologies - CIIT 2023 | en_US |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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File | Description | Size | Format | |
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CIIT2023_paper_23.pdf | 9.19 MB | Adobe PDF | View/Open |
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