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Machine Learning-Based Automatic Text Summarization Techniques
Automatic text summarization (ATS) technique is needed to create a summary comprising a compact version of significant details of the document. ATS...
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State-of-the-art approach to extractive text summarization: a comprehensive review
With the rapid growth of social media platforms, digitization of official records, and digital publication of articles, books, magazines, and...
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A Statistical Language Modeling Framework for Extractive Summarization of Text Documents
The availability of a large collection of text documents on a variety of topics, such as tweets, web pages, news articles, and stories, in different...
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A Text Summarization Hybrid Approach Using CNN and the Firefly Algorithm
Automatic text summarization is more significant due to the rapid expansion of textual content on the web and in many archives, such as scientific...
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A robust classification approach to enhance clinic identification from Arabic health text
Text classification has critical applications, including healthcare, where it can assist patients in locating specialized clinics based on their...
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Enhancing metaheuristic based extractive text summarization with fuzzy logic
In today’s world as the data on the web is increasing it becomes a challenge to identify the relevant information. Automatic text summarization (ATS)...
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An innovative Telugu text summarization framework using the pointer network and optimized attention layer
Summarizing lengthy text involves distilling crucial information into a concise form by covering the key events in the source text. Previous...
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Arabic text detection: a survey of recent progress challenges and opportunities
The Arabic language plays a crucial role in the world after becoming the sixth official language of the United Nations (UN). In the last ten years,...
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Graph-based extractive text summarization based on single document
Day by day, the amount of online and offline text data is growing tremendously from various sources like legal documents, medical documents, news...
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Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation
Since the declaration of COVID-19 as an epidemic by the World Health Organization in September 2019, the task of monitoring and managing the spread...
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Arabic text summarization using deep learning approach
Natural language processing has witnessed remarkable progress with the advent of deep learning techniques. Text summarization, along other tasks like...
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Anaphora resolved abstractive text summarization (AR-ATS) system
Many people in this world are fond of reading, and text format is regarded as the official way of communication. This has resulted in an increased...
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A hierarchical framework based on transformer technology to achieve factual consistent and non-redundant abstractive text summarization
Abstractive summarization is one of the popular topics that has been the researchers’ attention for several years. This is because of the widespread...
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Automatic Arabic Text Summarization Using Analogical Proportions
Automatic text summarization is the process of generating or extracting a brief representation of an input text. There are several algorithms for...
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Automatic Text Summarization for Moroccan Arabic Dialect Using an Artificial Intelligence Approach
A major advantage of artificial intelligence is its ability to automatically perform tasks at a human-like level quickly; this is needed in many...
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A Comprehensive Survey on Summarization Techniques
Summarization is the method of extracting valuable information or a summary out of a significant amount of data using a variety of computation...
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Document vector embedding based extractive text summarization system for Hindi and English text
Nowadays, several automatic text summarization (ATS) methods have been proposed for resource-rich languages, such as English, Chinese. However,...
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Text summarization using residual-based temporal attention convolutional neural network
To address the computational complexity and limited to large data Enhanced Residual based Temporal Attention Convolutional Neural Network (ERTACNN)...
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Study of automatic text summarization approaches in different languages
Nowadays we see huge amount of information is available on both, online and offline sources. For single topic we see hundreds of articles are...
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C-DESERT Score for Arabic Text Summary Evaluation
Text summary evaluation represents an important step after building any summarization system. Despite the important number of metrics that have been...