Results 11 to 20 of about 36,186 (330)
Graph-Based Extractive Text Summarization Models: A Systematic Review [PDF]
The volume of digital text data is continuously increasing both online and offline storage, which makes it difficult to read across documents on a particular topic and find the desired information within a possible available time.
Abdulkadir Bichi +3 more
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Comprehensive Review of Automatic Text Summarization Techniques
Automatic Text Summarization (ATS) is a fundamental aspect of Natural Language Processing (NLP) that allows for the conversion of lengthy text documents into concise summaries that retain the essential information based on specific criteria. In this paper, we present a literature review on the topic of ATS, which includes an overview of the various ...
Cajueiro, Daniel O. +6 more
openaire +4 more sources
An exploratory study of automatic text summarization in biomedical and healthcare domain
In the last two decades, the uses of automatic text summarization have been realized in a wide range of applications in various fields cutting across a number of verticals. Amongst these, one of the most inquired is the domain of healthcare and medicine.
Mukesh Kumar Rohil, Varun Magotra
doaj +1 more source
The Design of Automatic Summarization of Indonesian Texts Using a Hybrid Approach
This study aims to design a model for automatic text summarization in Indonesian. Automatic text summarization is a system that reduces the number of sentences without losing important information in the document.
Kania Evita Dewi +1 more
doaj +1 more source
Improved Text Summarization of News Articles Using GA-HC and PSO-HC
Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, news ...
Muhammad Mohsin +7 more
doaj +1 more source
A survey on Automatic Text Summarization [PDF]
Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate.
N. Nazari, M. A. Mahdavi
doaj +1 more source
Automatic Summary Generation of News for People's Daily Online Corpus
[Purpose/significance] This paper conducts a study for the mainstream news media for People's Daily Online corpus, aiming to provide ideas and practical support for the study of automatic text summarization, which can then ...
Liang Yuan, Wang Dongbo, Huang Shuiqing
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Abstract: Text Summarization is a Natural Language Processing (NLP) method that extracts and collects data from the source and summarizes it. Text summarization has become a requirement for many applications since manually summarizing vast amounts of information is difficult, especially with the expanding magnitude of data.
Sakshi Jawale +4 more
openaire +1 more source
Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends to automatically create summaries of enormous amounts of text so that readers can save time and effort.
Bilal Khan +4 more
doaj +1 more source
Multilingual Text Summarization for German Texts Using Transformer Models
The tremendous increase in documents available on the Web has turned finding the relevant pieces of information into a challenging, tedious, and time-consuming activity.
Tomas Humberto Montiel Alcantara +3 more
doaj +1 more source

