Multi-Encoder Transformer for Korean Abstractive Text Summarization
In this paper, we propose a Korean abstractive text summarization approach that uses a multi -encoder transformer. Recently, in many natural language processing (NLP) tasks, the use of the pre-trained language models (PLMs) for transfer learning has achieved remarkable performance. In particular, tr...
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| Autor Principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/10129176/ |
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