Automatic Text Summarization Methods: A Comprehensive Review

Text summarization is the process of condensing a long text into a shorter version by maintaining the key information and its meaning. Automatic text summarization can save time and helps in selecting the important and relevant sentences from the document. In extractive summarization techniques, sen...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:SN computer science Ročník 4; číslo 1; s. 33
Hlavní autori: Sharma, Grishma, Sharma, Deepak
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Nature Singapore 01.01.2023
Springer Nature B.V
Predmet:
Audiences
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Datasets
Deep learning
Documents
Genre
Information Systems and Communication Service
Keywords
Machine learning
Natural language
Neural networks
Pattern Recognition and Graphics
Readability
Review Article
Semantics
Software Engineering/Programming and Operating Systems
Vision
Automatic text summarization
Abstractive Summarization
Extractive summarization
Text summarization methods
Summary evaluation & Natural language processing
ISSN:2661-8907, 2662-995X, 2661-8907
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Text summarization is the process of condensing a long text into a shorter version by maintaining the key information and its meaning. Automatic text summarization can save time and helps in selecting the important and relevant sentences from the document. In extractive summarization techniques, sentences are picked up directly from the source document, whereas in abstractive summarization techniques, new sentences and phrases are generated from original source document. Majority of research is focused on extractive techniques, in the recent years, most of the research is inclined towards abstractive & hybrid text summarization methods. This paper presents comprehensive survey on various works performed for automatic text summarization methods. Detailed study is done on the Extractive & Abstractive techniques & their comparison on different aspects. The paper also discusses the research gaps & challenges that can motivate & help researchers to identify the potential areas for research in this field.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-022-01446-w