Developing a named entity recognition model for text documents in Russian to detect personal data using machine learning methods-Reference-Cited by-同舟云学术

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Developing a named entity recognition model for text documents in Russian to detect personal data using machine learning methods

Published:2022 Issue: Volume:213 Page:127-135
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Gultiaev Andrey A.,Domashova Jenny V.

Funder

National Research Nuclear University MEPhI

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. Federal law of Russian Federation No. 152 “On personal data” dated July 27, 2006, URL: http://www.consultant.ru/document/cons_doc_LAW_61801/

2. Official website of the Ministry of Internal Affairs of Russia. Crime situation in the Russian Federation for January-December 2021, URL: https://media.mvd.ru/files/application/2315310

3. IBM Watson webpage, URL: https://www.ibm.com/watson

4. SAS Visual text Analytics webpage, URL: https://www.sas.com/en_us/software/visual-text-analytics.html

5. ABBYY FlexiCaprite webpage, URL: https://www.abbyy.com/flexicapture/

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1. An Event Extraction Approach Based on a Multi-Round Q&A Framework;Applied Sciences;2023-05-22

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