Multi-Domain Named Entity Recognition for Robotic Process Automation
dc.contributor.author | Ganzha, Maria | |
dc.contributor.author | Denisiuk, Aleksander | |
dc.contributor.author | SowiĆski, Piotr | |
dc.contributor.author | Wasielewska-Michniewska, Katarzyna | |
dc.contributor.author | Paprzycki, Marcin | |
dc.date.accessioned | 2022-12-27T18:56:05Z | |
dc.date.available | 2022-12-27T18:56:05Z | |
dc.date.issued | 2023-01-03 | |
dc.description.abstract | To make Robotic Process Automation more attractive, it needs to become more ``intelligent''. In this context, a modification of the Form-to-Rule approach, based on identifying data types of form fields, is proposed. Moreover, multi-domain named entity recognition is used, for field value identification. These techniques, used jointly, allow software robots to adapt to interface changes. Experimental results are reported and verify viability of the proposed approach. | |
dc.format.extent | 10 | |
dc.identifier.doi | 10.24251/HICSS.2023.117 | |
dc.identifier.isbn | 978-0-9981331-6-4 | |
dc.identifier.uri | https://hdl.handle.net/10125/102746 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 56th Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Data, Text, and Web Mining for Business Analytics | |
dc.subject | form-2-rule | |
dc.subject | name entity recognition | |
dc.subject | robotic process automation | |
dc.title | Multi-Domain Named Entity Recognition for Robotic Process Automation | |
dc.type.dcmi | text | |
prism.startingpage | 940 |
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