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 …

An empirical survey on long document summarization: Datasets, models, and metrics

HY Koh, J Ju, M Liu, S Pan - ACM computing surveys, 2022 - dl.acm.org
Long documents such as academic articles and business reports have been the standard
format to detail out important issues and complicated subjects that require extra attention. An …

An autonomous debating system

N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin… - Nature, 2021 - nature.com
Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are
usually associated with intelligent beings. Argument and debate are fundamental …

Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Deep reinforcement and transfer learning for abstractive text summarization: A review

A Alomari, N Idris, AQM Sabri, I Alsmadi - Computer Speech & Language, 2022 - Elsevier
Abstract Automatic Text Summarization (ATS) is an important area in Natural Language
Processing (NLP) with the goal of shortening a long text into a more compact version by …

[HTML][HTML] Pre-trained language models with domain knowledge for biomedical extractive summarization

Q Xie, JA Bishop, P Tiwari, S Ananiadou - Knowledge-Based Systems, 2022 - Elsevier
Biomedical text summarization is a critical task for comprehension of an ever-growing
amount of biomedical literature. Pre-trained language models (PLMs) with transformer …

[HTML][HTML] Review of automatic text summarization techniques & methods

AP Widyassari, S Rustad, GF Shidik… - Journal of King Saud …, 2022 - Elsevier
Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

A survey of automatic text summarization: Progress, process and challenges

MF Mridha, AA Lima, K Nur, SC Das, M Hasan… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Text mining in education

R Ferreira‐Mello, M André, A Pinheiro… - … : Data Mining and …, 2019 - Wiley Online Library
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

Neural abstractive text summarization with sequence-to-sequence models

T Shi, Y Keneshloo, N Ramakrishnan… - ACM Transactions on …, 2021 - dl.acm.org
In the past few years, neural abstractive text summarization with sequence-to-sequence
(seq2seq) models have gained a lot of popularity. Many interesting techniques have been …