BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization
The emergence of attention-based architectures has led to significant improvements in the performance of neural sequence-to-sequence models for text summarization. Although these models have proved to be effective in summarizing English-written documents, their portability to other languages is limi...
| Hauptverfasser: | , |
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| Format: | Artikel |
| Sprache: | English |
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MDPI AG
2022-12-01
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| Schriftenreihe: | Future Internet |
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| Online Zugang: | https://www.mdpi.com/1999-5903/15/1/15 |