Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866911274412015616 |
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| author | Dahan, Noam Kidron, Omer Stanovsky, Gabriel |
| author_facet | Dahan, Noam Kidron, Omer Stanovsky, Gabriel |
| contents | High quality summarization data remains scarce in under-represented languages. However, historical newspapers, made available through recent digitization efforts, offer an abundant source of untapped, naturally annotated data. In this work, we present a novel method for collecting naturally occurring summaries via Front-Page Teasers, where editors summarize full length articles. We show that this phenomenon is common across seven diverse languages and supports multi-document summarization. To scale data collection, we develop an automatic process, suited to varying linguistic resource levels. Finally, we apply this process to a Hebrew newspaper title, producing HEBTEASESUM, the first dedicated multi-document summarization dataset in Hebrew. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2511_14598 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages Dahan, Noam Kidron, Omer Stanovsky, Gabriel Computation and Language High quality summarization data remains scarce in under-represented languages. However, historical newspapers, made available through recent digitization efforts, offer an abundant source of untapped, naturally annotated data. In this work, we present a novel method for collecting naturally occurring summaries via Front-Page Teasers, where editors summarize full length articles. We show that this phenomenon is common across seven diverse languages and supports multi-document summarization. To scale data collection, we develop an automatic process, suited to varying linguistic resource levels. Finally, we apply this process to a Hebrew newspaper title, producing HEBTEASESUM, the first dedicated multi-document summarization dataset in Hebrew. |
| title | Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2511.14598 |