Two New Datasets for Italian-Language Abstractive Text Summarization
Text summarization aims to produce a short summary containing relevant parts from a given text. Due to the lack of data for abstractive summarization on low-resource languages such as Italian, we propose two new original datasets collected from two Italian news websites with multi-sentence summaries...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/13/5/228 |
| _version_ | 1827668496808411136 |
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| author | Nicola Landro Ignazio Gallo Riccardo La Grassa Edoardo Federici |
| author_facet | Nicola Landro Ignazio Gallo Riccardo La Grassa Edoardo Federici |
| author_sort | Nicola Landro |
| collection | DOAJ |
| description | Text summarization aims to produce a short summary containing relevant parts from a given text. Due to the lack of data for abstractive summarization on low-resource languages such as Italian, we propose two new original datasets collected from two Italian news websites with multi-sentence summaries and corresponding articles, and from a dataset obtained by machine translation of a Spanish summarization dataset. These two datasets are currently the only two available in Italian for this task. To evaluate the quality of these two datasets, we used them to train a T5-base model and an mBART model, obtaining good results with both. To better evaluate the results obtained, we also compared the same models trained on automatically translated datasets, and the resulting summaries in the same training language, with the automatically translated summaries, which demonstrated the superiority of the models obtained from the proposed datasets. |
| first_indexed | 2024-03-10T03:41:39Z |
| format | Article |
| id | doaj.art-914f374696d145f2ab0dd8917dd9a260 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T03:41:39Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-914f374696d145f2ab0dd8917dd9a2602023-11-23T11:30:00ZengMDPI AGInformation2078-24892022-04-0113522810.3390/info13050228Two New Datasets for Italian-Language Abstractive Text SummarizationNicola Landro0Ignazio Gallo1Riccardo La Grassa2Edoardo Federici3Department of Theoretical and Applied Sciences—DISTA, University of Insubria, Via J.H. Dunant, 3, 21100 Varese, ItalyDepartment of Theoretical and Applied Sciences—DISTA, University of Insubria, Via J.H. Dunant, 3, 21100 Varese, ItalyINAF-Osservatorio Astronomico di Padova, Vicolo dell’Osservatorio, 35122 Padova, ItalyDigitiamo srl, 21100 Varese, ItalyText summarization aims to produce a short summary containing relevant parts from a given text. Due to the lack of data for abstractive summarization on low-resource languages such as Italian, we propose two new original datasets collected from two Italian news websites with multi-sentence summaries and corresponding articles, and from a dataset obtained by machine translation of a Spanish summarization dataset. These two datasets are currently the only two available in Italian for this task. To evaluate the quality of these two datasets, we used them to train a T5-base model and an mBART model, obtaining good results with both. To better evaluate the results obtained, we also compared the same models trained on automatically translated datasets, and the resulting summaries in the same training language, with the automatically translated summaries, which demonstrated the superiority of the models obtained from the proposed datasets.https://www.mdpi.com/2078-2489/13/5/228abstractive text summarizationdatasetsdeep learning |
| spellingShingle | Nicola Landro Ignazio Gallo Riccardo La Grassa Edoardo Federici Two New Datasets for Italian-Language Abstractive Text Summarization Information abstractive text summarization datasets deep learning |
| title | Two New Datasets for Italian-Language Abstractive Text Summarization |
| title_full | Two New Datasets for Italian-Language Abstractive Text Summarization |
| title_fullStr | Two New Datasets for Italian-Language Abstractive Text Summarization |
| title_full_unstemmed | Two New Datasets for Italian-Language Abstractive Text Summarization |
| title_short | Two New Datasets for Italian-Language Abstractive Text Summarization |
| title_sort | two new datasets for italian language abstractive text summarization |
| topic | abstractive text summarization datasets deep learning |
| url | https://www.mdpi.com/2078-2489/13/5/228 |
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