Automatic text summarization: A comprehensive survey
Third Author's Department
Computer Science & Engineering Department
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https://doi.org/10.1016/j.eswa.2020.113679
Document Type
Research Article
Publication Title
Expert Systems with Applications
Publication Date
3-1-2021
doi
10.1016/j.eswa.2020.113679
Abstract
Automatic Text Summarization (ATS) is becoming much more important because of the huge amount of textual content that grows exponentially on the Internet and the various archives of news articles, scientific papers, legal documents, etc. Manual text summarization consumes a lot of time, effort, cost, and even becomes impractical with the gigantic amount of textual content. Researchers have been trying to improve ATS techniques since the 1950s. ATS approaches are either extractive, abstractive, or hybrid. The extractive approach selects the most important sentences in the input document(s) then concatenates them to form the summary. The abstractive approach represents the input document(s) in an intermediate representation then generates the summary with sentences that are different than the original sentences. The hybrid approach combines both the extractive and abstractive approaches. Despite all the proposed methods, the generated summaries are still far away from the human-generated summaries. Most researches focus on the extractive approach. It is required to focus more on the abstractive and hybrid approaches. This research provides a comprehensive survey for the researchers by presenting the different aspects of ATS: approaches, methods, building blocks, techniques, datasets, evaluation methods, and future research directions.
Recommended Citation
APA Citation
El-Kassas, W.
Salama, C.
Rafea, A.
&
Mohamed, H.
(2021). Automatic text summarization: A comprehensive survey. Expert Systems with Applications, 165,
10.1016/j.eswa.2020.113679
https://fount.aucegypt.edu/faculty_journal_articles/2529
MLA Citation
El-Kassas, Wafaa S., et al.
"Automatic text summarization: A comprehensive survey." Expert Systems with Applications, vol. 165, 2021,
https://fount.aucegypt.edu/faculty_journal_articles/2529