no code implementations • 18 Jun 2022 • Valeriya Goloviznina, Evgeny Kotelnikov
The key problem of the argument text generation for the Russian language is the lack of annotated argumentation corpora.
1 code implementation • 18 Jun 2022 • Irina Fishcheva, Dmitriy Osadchiy, Klavdiya Bochenina, Evgeny Kotelnikov
The key problem of the argument text generation for the Russian language is the lack of annotated argumentation corpora.
no code implementations • 18 Jun 2022 • Evgeny Kotelnikov, Natalia Loukachevitch, Irina Nikishina, Alexander Panchenko
Argumentation analysis is a field of computational linguistics that studies methods for extracting arguments from texts and the relationships between them, as well as building argumentation structure of texts.
no code implementations • 18 Jun 2022 • Sergey Vychegzhanin, Evgeny Kotelnikov
The method is based on two interacting models: the autoregressive language ruGPT-3 model and the autoencoding language ruRoBERTa model.
no code implementations • 19 Nov 2021 • Elena Razova, Sergey Vychegzhanin, Evgeny Kotelnikov
We fine-tune RuBERT on sentiment text corpora and compare the distributions of attention weights for sentiment and neutral lexicons.
no code implementations • 19 Nov 2021 • Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny Kotelnikov
The purpose of the article is to study the performance of the SO-CAL and SentiStrength lexicon-based methods, adapted for the Russian language.
no code implementations • 28 Jun 2021 • Irina Fishcheva, Valeriya Goloviznina, Evgeny Kotelnikov
Argumentation mining is a field of computational linguistics that is devoted to extracting from texts and classifying arguments and relations between them, as well as constructing an argumentative structure.
no code implementations • 28 Jun 2021 • Evgeny Kotelnikov
Currently, there are more than a dozen Russian-language corpora for sentiment analysis, differing in the source of the texts, domain, size, number and ratio of sentiment classes, and annotation method.