Results 161 to 170 of about 168,037 (222)

Automatic Text Summarization [PDF]

open access: yes, 2014
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
openaire   +4 more sources

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
semanticscholar   +1 more source

Extractive Automatic Text Summarization using SpaCy in Python & NLP

2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2021
Propulsion 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
semanticscholar   +1 more source

SGATS: Semantic Graph-based Automatic Text Summarization from Hindi Text Documents

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021
Creating 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
semanticscholar   +1 more source

A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods

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
semanticscholar   +1 more source

Automatic Text Summarization

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
openaire   +1 more source

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
semanticscholar   +1 more source

Lecture Summarization using Video Processing and Automatic Text Summarization

2021 International Conference on Intelligent Technologies (CONIT), 2021
Nowadays 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
openaire   +1 more source

Survey on Automatic Text Summarization and Transformer Models Applicability

International Conference on Control, Robotics and Intelligent System, 2020
This 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
semanticscholar   +1 more source

Automatic summarization for text simplification

Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web, 2008
In 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
openaire   +1 more source

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