“…Lamsiyah, Mahdaouy [ 15 ] described the steps of extractive summarization as three-fold: cleaning and representation of input text, scoring of sentences according to their importance, and the sentence selection step, which involves the selection of sentences with the highest scores to form a summary. Extractive summarization is further divided based on its purpose into query-based methods, for example, the methods proposed by Mangalampati and Ponnuru [ 16 ], Van Lierde and Chow [ 17 ]; domain-specific methods, such as the methods proposed by Cao, Luo [ 18 ], Gupta, Sharaff [ 19 ] or generic methods, such as the methods proposed by Alami, Mallahi [ 20 ], Alia, Noora [ 21 ]. Based on context, extractive ATS methods can be divided into indicative, such as the methods proposed by Narayan, Cohen [ 22 ] and informative, such as the methods proposed by Vollmer, Golab [ 23 ].…”