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Automatic Text Summarization [PDF]
Automatic summarization is the procedure of decreasing the content of a document with a machine (computer) program so as to make a summary that holds the most critical sentences of the text file (document).
Kumar, T
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A Comprehensive Review on Automatic Text Summarization
Journal of Computacion y Sistemas, 2023. This article presents a broad overview of Automatic Text Summarization (ATS) as a downstream Natural Language Processing (NLP) task. We explore the bibliometrics, available data, methods, summary evaluation techniques, and summarization models.
I. Akhmetov +4 more
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Extractive Automatic Text Summarization using SpaCy in Python & NLP
2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2021Propulsion of the everchanging technological innovations, has led to consider the data generated in the present era very crucial with significant roles both in technical & nontechnical fields. In the digital world, as the amount of data produced at every
Swaranjali Jugran +3 more
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SGATS: Semantic Graph-based Automatic Text Summarization from Hindi Text Documents
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021Creating a coherent summary of the text is a challenging task in the field of Natural Language Processing (NLP). Various Automatic Text Summarization techniques have been developed for abstractive as well as extractive summarization.
M. Joshi, Nisheeth Joshi, Namita Mittal
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arXiv.org
Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP) algorithms, aims to create concise and accurate summaries, thereby significantly reducing the human effort required in processing large volumes of text.
Hanlei Jin +4 more
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Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP) algorithms, aims to create concise and accurate summaries, thereby significantly reducing the human effort required in processing large volumes of text.
Hanlei Jin +4 more
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2011
Automatic Text Summarization is a Natural Language Processing task which has experienced great development in recent years, mostly due to the rapid growth of the Internet. Therefore, we need methods and tools that help users to manage large amounts of information.
S. Soumya +3 more
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Automatic Text Summarization is a Natural Language Processing task which has experienced great development in recent years, mostly due to the rapid growth of the Internet. Therefore, we need methods and tools that help users to manage large amounts of information.
S. Soumya +3 more
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Text Summarization Using Automatic Text Summarization
2025 9th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)The rapid emergence of multimedia technologies as well as the Internet saw a rise in the volumes of text data. Such huge amounts of text may give some insights that need to be properly distilled.
A. K. M, Shreyas S, Shreyas K
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Lecture Summarization using Video Processing and Automatic Text Summarization
2021 International Conference on Intelligent Technologies (CONIT), 2021Nowadays machine learning has achieved a lot of success in technical fields. One of these is video processing but text is recognized which is in a computer readable format, our paper is focusing on detection of handwritten text and summarizing the document for which we found a better result with some methods which are clearly explained in this paper ...
Janhavi Chadawar +4 more
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Survey on Automatic Text Summarization and Transformer Models Applicability
International Conference on Control, Robotics and Intelligent System, 2020This survey talks about Automatic Text Summarization. Information explosion, the problem caused by the rapid growth of the internet, increased more and more necessity of powerful summarizers.
Guan Wang, I. Smetannikov, T. Man
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Automatic summarization for text simplification
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web, 2008In this paper we present experiments on summarization and text simplification for poor readers, more specifically, functional illiteracy readers. We test several summarizers and use summaries as the basis of simplification strategies. We show that each simplification approach has different effects on readers of varied levels of literacy, but that all ...
Paulo R. A. Margarido +6 more
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