@inproceedings{af5baccfc5de4a53a97c3effca7ca947,
title = "The Two-Stage Algorithm for Extraction of the Significant Pharmaceutical Named Entities and Their Relations in the Russian-Language Reviews on Medications on Base of the XLM-RoBERTa Language Model",
abstract = "The Internet contains a large amount of heterogeneous information, the extraction and structuring of which is currently a relevant task. This is especially relevant for tasks of social importance, in particular the analysis of the experience of using pharmaceutical products. In this paper, we propose a two-step sequential algorithm for extracting named entities and the relationships between them. Its creation was made possible by the availability of a marked-up corpus of Internet users{\textquoteright} reviews of medicines (Russian Drug Review Corpus). The basis of the algorithm is the language model XLM-RoBERTa-sag, which is pre-trained on a large corpus of unlabeled texts of reviews. The developed algorithm achieves the accuracy of identifying related entities: 71.6 and relations: 80.5, which is the first estimate of the accuracy of the solution of the considered problem on the Russian-language drug review texts.",
keywords = "Language models, Natural language processing, Neural networks, Pharmaceutical dataset, Relation extraction, Russian language",
author = "Alexander Sboev and Ivan Moloshnikov and Anton Selivanov and Gleb Rylkov and Roman Rybka",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021 ; Conference date: 12-09-2021 Through 19-09-2021",
year = "2022",
doi = "10.1007/978-3-030-96993-6_51",
language = "אנגלית",
isbn = "9783030969929",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "463--471",
editor = "Klimov, {Valentin V.} and Kelley, {David J.}",
booktitle = "Biologically Inspired Cognitive Architectures 2021 - Proceedings of the 12th Annual Meeting of the BICA Society",
address = "גרמניה",
}