A Survey on Automatic Text Summarization

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Variations of the Similarity Function of TextRank for Automated Summarization (2016, methodology): “The mainstream research in this ﬁeld emphasizes extractive approaches to summarization using statistical methods [4].”
HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space (2015, background): “Human Language Technologies: The 2015 Annual Conference of the North American Chapter of the ACL, pages 133–142, Denver, Colorado, May 31 – June 5, 2015. c©2015 Association for Computational Linguistics”
Event Summarization Using Tweets (2011, background): “All experiments henceforth are conducted on this corpus.”
A comprehensive survey on feature selection in the various fields of machine learning (2021, background): “tf − idf [85] – A statistical score calculates how important a word is to a document in a collection of documents.”
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention (2020, background): “While paraphrasing is the task of “conveying the same meaning, but with different expressions” [9, 18, 41], summarization deals with extracting or abstracting the key points of a larger input sequence [21, 73, 33].”