16 citations
4 papers · 2 filters
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…