no code implementations • 13 May 2024 • Alena Tsanda, Elena Bruches
The paper discusses the creation of a multimodal dataset of Russian-language scientific papers and testing of existing language models for the task of automatic text summarization.
1 code implementation • 6 Oct 2023 • Anna Marshalova, Elena Bruches, Tatiana Batura
Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review.
no code implementations • COLING 2022 • Elena Bruches, Olga Tikhobaeva, Yana Dementyeva, Tatiana Batura
This paper is devoted to the extraction of entities and semantic relations between them from scientific texts, where we consider scientific terms as entities.
no code implementations • 14 Sep 2021 • Elena Bruches, Anastasia Mezentseva, Tatiana Batura
In this paper, we present a system for information extraction from scientific texts in the Russian language.
no code implementations • 19 Nov 2020 • Elena Bruches, Alexey Pauls, Tatiana Batura, Vladimir Isachenko
This paper is devoted to the study of methods for information extraction (entity recognition and relation classification) from scientific texts on information technology.