Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910626991833088 |
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| author | Pernes, Diogo Correia, Gonçalo M. Mendes, Afonso |
| author_facet | Pernes, Diogo Correia, Gonçalo M. Mendes, Afonso |
| contents | Cross-lingual summarization aims to bridge language barriers by summarizing documents in different languages. However, ensuring semantic coherence across languages is an overlooked challenge and can be critical in several contexts. To fill this gap, we introduce multi-target cross-lingual summarization as the task of summarizing a document into multiple target languages while ensuring that the produced summaries are semantically similar. We propose a principled re-ranking approach to this problem and a multi-criteria evaluation protocol to assess semantic coherence across target languages, marking a first step that will hopefully stimulate further research on this problem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_00502 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach Pernes, Diogo Correia, Gonçalo M. Mendes, Afonso Computation and Language Artificial Intelligence Machine Learning Cross-lingual summarization aims to bridge language barriers by summarizing documents in different languages. However, ensuring semantic coherence across languages is an overlooked challenge and can be critical in several contexts. To fill this gap, we introduce multi-target cross-lingual summarization as the task of summarizing a document into multiple target languages while ensuring that the produced summaries are semantically similar. We propose a principled re-ranking approach to this problem and a multi-criteria evaluation protocol to assess semantic coherence across target languages, marking a first step that will hopefully stimulate further research on this problem. |
| title | Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach |
| topic | Computation and Language Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2410.00502 |