Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/79494

Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant

File Size Format  
0130.pdf 466.64 kB Adobe PDF View/Open

Item Summary

Title:Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant
Authors:Denisiuk, Aleksander
Ganzha, Maria
Wasielewska-Michniewska, Katarzyna
Paprzycki, Marcin
Keywords:Data, Text, and Web Mining for Business Analytics
decision trees
named entity recognition
robot process automation
semantic context
Date Issued:04 Jan 2022
Abstract:The purpose of this contribution is to present a feature extractor that was designed as a part of a Named Entity Recognition (NER) system, which is to be used in a Robotic Process Automation application with a self-learning ability. The NER system has a screen of the user interface as its input, and tries to recognize and categorize all the named entities that can be located within this screen. The set of features that can be extracted from the input, is discussed in the article. The local context features appear to be very important in the considered problem. Experiments show that the entities are recognized with a rate that is satisfactory from the business perspective.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/79494
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.162
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Data, Text, and Web Mining for Business Analytics


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons