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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2405.07886 |
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| _version_ | 1866909201000824832 |
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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 |