Features in extractive supervised single-document summarization: case of Persian news.

Text summarization has been one of the most challenging areas of research in NLP. Much effort has been made to overcome this challenge by using either abstractive or extractive methods. Extractive methods are preferable due to their simplicity compared with the more elaborate abstractive methods. In...

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Publicado en:	Language Resources & Evaluation Vol. 58; no. 4; pp. 1073 - 1092
Autores principales:	Rezaei, Hosein, Mirhosseini, Seyed Amid Moeinzadeh, Shahgholian, Azar, Saraee, Mohamad
Formato:	Artículo
Publicado:	Springer Nature Dec2024
Materias:	Automatic summarization Natural language processing Text summarization Supervised learning Machine learning
Acceso en línea:	Ver este registro en EBSCOhost