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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Bibliographic Details

Published in:	Language Resources & Evaluation Vol. 58; no. 4; pp. 1073 - 1092
Main Authors:	Rezaei, Hosein, Mirhosseini, Seyed Amid Moeinzadeh, Shahgholian, Azar, Saraee, Mohamad
Format:	Article
Published:	Springer Nature Dec2024
Subjects:	Automatic summarization Natural language processing Text summarization Supervised learning Machine learning
Online Access:	View this record in EBSCOhost