Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers

Fuente: arXiv
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Main Authors: Tsanda, Alena, Bruches, Elena
Format: Preprint
Published: 2024
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author Tsanda, Alena
Bruches, Elena
author_facet Tsanda, Alena
Bruches, Elena
contents 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. A feature of the dataset is its multimodal data, which includes texts, tables and figures. The paper presents the results of experiments with two language models: Gigachat from SBER and YandexGPT from Yandex. The dataset consists of 420 papers and is publicly available on https://github.com/iis-research-team/summarization-dataset.
format Preprint
id arxiv_https___arxiv_org_abs_2405_07886
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers
Tsanda, Alena
Bruches, Elena
Computation and Language
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. A feature of the dataset is its multimodal data, which includes texts, tables and figures. The paper presents the results of experiments with two language models: Gigachat from SBER and YandexGPT from Yandex. The dataset consists of 420 papers and is publicly available on https://github.com/iis-research-team/summarization-dataset.
title Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers
topic Computation and Language
url https://arxiv.org/abs/2405.07886