Automatic text summarization: A comprehensive survey

WS El-Kassas, CR Salama, AA Rafea… - Expert systems with …, 2021 - Elsevier
Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

DO Cajueiro, AG Nery, I Tavares, MK De Melo… - arXiv preprint arXiv …, 2023 - arxiv.org
We provide a literature review about Automatic Text Summarization (ATS) systems. We
consider a citation-based approach. We start with some popular and well-known papers that …

A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and …

ME Saleh, YM Wazery, AA Ali - Expert Systems with Applications, 2024 - Elsevier
Abstract Automatic Text Summarization (ATS) involves estimating the salience of information
and creating coherent summaries that include all relevant and important information from the …

Vessel Trajectory Data Mining: a review

A Troupiotis-Kapeliaris, C Kastrisios, D Zissis - IEEE Access, 2025 - ieeexplore.ieee.org
Recent advancements in sensor and tracking technologies have facilitated the real-time
tracking of marine vessels as they traverse the oceans. As a result, there is an increasing …

deepMINE-natural language processing based automatic literature mining and research summarization for early-stage comprehension in pandemic situations …

B Joshi, V Bakarola, P Shah, R Krishnamurthy - bioRxiv, 2020 - biorxiv.org
The recent pandemic created due to Novel Coronavirus (nCOV-2019) from Wuhan, China
demanding a large scale of a general health emergency. This demands novel research on …

Intelligent abstractive text summarization using hybrid Word2Vec and Swin transformer for long documents

G Mishra, N Sethi, L Agilandeeswari - International Journal of …, 2023 - cspub-ijcisim.org
In this paper, a novel hybrid Swin-T transformer based automatic text summarization model
is proposed for both short and long documents. It involves various phases namely data …

Graph-based extractive text summarization models: a systematic review

AA Bichi, P Keikhosrokiani, R Hassan… - Journal of Information …, 2022 - jitm.ut.ac.ir
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 …

Text Summarization: A Bibliometric Study and Systematic Literature Review.

M Xu, HA Rahman, F Li - Ingénierie des Systèmes d' …, 2024 - search.ebscohost.com
With the exponential growth of text data from many sources such as internet content, news
stories, scientific literature, and legal documents, the significance of automatic text …

Automated Text Summarizer Using Google Pegasus

N Nalini, A Narayan, AM Sridharan… - … Conference on Smart …, 2023 - ieeexplore.ieee.org
The recent growth of the Internet due to an increase in users has led to an explosion of all
types of data. Text data is one of them and it is usually voluminous and contains a lot of …

A Multimodal Approach to Multispeaker Summarization and Mind Mapping for Audio Data

H Modi, A Patel, I Joshi, P Kanani - … International Conference on …, 2023 - ieeexplore.ieee.org
With recent global events resulting in a shift in the work setting and way of life worldwide,
most educational institutes and corporate organizations have been forced to conduct their …