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Automatic text summarization: A comprehensive survey
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 …
the huge amount of textual content that grows exponentially on the Internet and the various …
Abstractive summarization: An overview of the state of the art
Summarization, is to reduce the size of the document while preserving the meaning, is one
of the most researched areas among the Natural Language Processing (NLP) community …
of the most researched areas among the Natural Language Processing (NLP) community …
A survey of automatic text summarization: Progress, process and challenges
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …
increased exponentially. This text volume is a precious source of information and knowledge …
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 …
maintaining the key information and its meaning. Automatic text summarization can save …
Deep learning based abstractive text summarization: approaches, datasets, evaluation measures, and challenges
In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …
valuable resource for extracting and analysing information. To retrieve useful knowledge …
A topic modeled unsupervised approach to single document extractive text summarization
Abstract Automatic Text Summarization (ATS) is an essential field in natural language
processing that attempts to condense large text documents so that users can assimilate …
processing that attempts to condense large text documents so that users can assimilate …
Abstractive vs. extractive summarization: An experimental review
Text summarization is a subtask of natural language processing referring to the automatic
creation of a concise and fluent summary that captures the main ideas and topics from one …
creation of a concise and fluent summary that captures the main ideas and topics from one …
Abstractive text summarization: Enhancing sequence-to-sequence models using word sense disambiguation and semantic content generalization
Nowadays, most research conducted in the field of abstractive text summarization focuses
on neural-based models alone, without considering their combination with knowledge …
on neural-based models alone, without considering their combination with knowledge …
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text …
Automatic text summarization (TS) plays a pivotal role in condensing large volumes of
information into concise, coherent summaries, facilitating efficient information retrieval and …
information into concise, coherent summaries, facilitating efficient information retrieval and …
Multi-document extractive text summarization: A comparative assessment on features
Text summarization is the process of generating a brief version of a text that preserves the
salient information of the text. For information retrieval, it is a good dimension reduction …
salient information of the text. For information retrieval, it is a good dimension reduction …