16 citations · 29 across the 8 of their papers we have counts for
8 papers · 1 filter
Automatic Summarization of Russian Texts: Comparison of Extractive and Abstractive Methods
Valeriya Goloviznina, Evgeny Kotelnikov
The development of large and super-large language models, such as GPT-3, T5, Switch Transformer, ERNIE, etc., has significantly improved the performance of text generation. One of…
Argumentative Text Generation in Economic Domain
Irina Fishcheva, Dmitriy Osadchiy, Klavdiya Bochenina +1
The development of large and super-large language models, such as GPT-3, T5, Switch Transformer, ERNIE, etc., has significantly improved the performance of text generation. One of…
RuArg-2022: Argument Mining Evaluation
Evgeny Kotelnikov, Natalia Loukachevitch, Irina Nikishina +1
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 argu…
Collocation2Text: Controllable Text Generation from Guide Phrases in Russian
Sergey Vychegzhanin, Evgeny Kotelnikov
Large pre-trained language models are capable of generating varied and fluent texts. Starting from the prompt, these models generate a narrative that can develop unpredictably. The…
Does BERT look at sentiment lexicon?
Elena Razova, Sergey Vychegzhanin, Evgeny Kotelnikov
The main approaches to sentiment analysis are rule-based methods and ma-chine learning, in particular, deep neural network models with the Trans-former architecture, including BERT…
Lexicon-based Methods vs. BERT for Text Sentiment Analysis
Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina +1
The performance of sentiment analysis methods has greatly increased in recent years. This is due to the use of various models based on the Transformer architecture, in particular B…
Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts
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…
Current Landscape of the Russian Sentiment Corpora
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, a…