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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 11(115) 2022

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Sabinin, O., & Andrianova, E.

The extracting method of automatic annotation of texts based on artificial neural networks.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-11-115-72

DOI: https://dx.doi.org/10.15863/TAS.2022.11.115.72

Language: English

Citation: Sabinin, O., & Andrianova, E. (2022). The extracting method of automatic annotation of texts based on artificial neural networks. ISJ Theoretical & Applied Science, 11 (115), 1080-1088. Soi: http://s-o-i.org/1.1/TAS-11-115-72 Doi: https://dx.doi.org/10.15863/TAS.2022.11.115.72

Pages: 1080-1088

Published: 30.11.2022

Abstract: The purpose of this article is to develop and study an extracting method for automatically annotating texts in languages with free word order and morphological complexity (for example, in Russian). The proposed method is based on the use of artificial neural networks. The task of the artificial neural network is to determine the key sentences of the text based on the properties of the sentence to decide on the inclusion of sentences in the annotation.

Key words: text annotation, neural networks, machine learning.


 

 

 

 

 

 

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