Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/291843| Title: | Aspect extraction from scientific texts |
| Authors: | Marshalova, A. E. Bruches, E. P. Batura, T. V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2022 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 122-125. |
| Abstract: | This paper considers the problem of automatic aspect extraction from texts of Russian scientific papers. We created a dataset which contains 591 abstracts of Russian scientific texts, annotated with the following aspects: task, goal, contribution, method, tool, use, advantage, example, and conclusion. Moreover, we have implemented an algorithm for automatic aspect extraction using the BERT neural network. The developed system can be used for paper summarization or for search of publications by different parameters |
| URI: | https://elib.bsu.by/handle/123456789/291843 |
| ISBN: | 978-985-881-420-5 |
| Licence: | info:eu-repo/semantics/restrictedAccess |
| Appears in Collections: | 2022. Computer Data Analysis and Modeling: Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 122-125.pdf | 315,71 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.