Automatic Aspect Extraction from Scientific Texts-Reference-Cited by-同舟云学术

Automatic Aspect Extraction from Scientific Texts

Published:2024 Issue: Volume: Page:67-80
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Marshalova Anna,Bruches Elena,Batura Tatiana

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-67008-4_6

Reference37 articles.

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2. Batura, T., Bakiyeva, A., Charintseva, M.: A method for automatic text summarization based on rhetorical analysis and topic modeling. Int. J. Comput. 19(1), 118–127 (2020)

3. Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, pp. 3615–3620. Association for Computational Linguistics (2019)

4. Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media, Inc. (2009)

5. Blinov, P., Reshetnikova, A., Nesterov, A., Zubkova, G., Kokh, V.: Rumedbench: a Russian medical language understanding benchmark. In: Michalowski, M., Abidi, S.S.R., Abidi, S. (eds) AIME 2022. LNCS, vol. 13263, pp. 383–392. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-09342-5_38