Research Area:  Machine Learning
Text Summarization is the process of creating a summary of a certain document that contains the most important information of the original one, the purpose of it is to get a summary of the main points of the document. Abstractive summarization of multi-documents aims to generate a concentrated version of the document while keeping the main information. Due to the massive amount of data these days, the importance of summarization arose. Finally, this paper collects the most recent and relevant research in the field of the text summarization to study and analysis for future research. It will be significant by giving a new direction to who are interested in this domain in the future.
Keywords:  
Author(s) Name:  Laith Abualigah, Mohammad Qassem Bashabsheh, Hamzeh Alabool & Mohammad Shehab
Journal name:   Recent Advances in NLP: The Case of Arabic Language
Conferrence name:  
Publisher name:  Springer
DOI:  10.1007/978-3-030-34614-0_1
Volume Information:  
Paper Link:   https://link.springer.com/chapter/10.1007/978-3-030-34614-0_1