Minimum redundancy and maximum relevance for single and multi-document Arabic text summarization
Automatic text summarization aims to produce summaries for one or more texts using machine techniques. In this paper, we propose a novel statistical summarization system for Arabic texts. Our system uses a clustering algorithm and an adapted discriminant analysis method: mRMR (minimum redundancy and...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2014-12-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1319157814000329 |
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