Deep learning-based single-image super-resolution: a comprehensive review

K Chauhan, SN Patel, M Kumhar, J Bhatia… - IEEE …, 2023 - ieeexplore.ieee.org
High-fidelity information, such as 4K quality videos and photographs, is increasing as high-
speed internet access becomes more widespread and less expensive. Even though camera …

A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods

H Jin, Y Zhang, D Meng, J Wang, J Tan - arXiv preprint arXiv:2403.02901, 2024 - arxiv.org
Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP)
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …

Lattice abstraction-based content summarization using baseline abstractive lexical chaining progress

GB Mohan, RP Kumar - International Journal of Information Technology, 2023 - Springer
Text summarization is essential in this fast-growing world to read the information because a
vast amount of information holds various definitions among related contents. Due to this …

[HTML][HTML] Abstractive vs. Extractive Summarization: An Experimental Review

N Giarelis, C Mastrokostas, N Karacapilidis - Applied Sciences, 2023 - mdpi.com
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 …

A Systematic survey on automated text generation tools and techniques: application, evaluation, and challenges

R Goyal, P Kumar, VP Singh - Multimedia Tools and Applications, 2023 - Springer
Automatic text generation is the generation of natural language text by machines. Enabling
machines to generate readable and coherent text is one of the most vital yet challenging …

[HTML][HTML] Algorithmically-driven writing and academic integrity: exploring educators' practices, perceptions, and policies in AI era

L Gustilo, E Ong, MR Lapinid - International Journal for Educational …, 2024 - Springer
Background Despite global interest in the interface of Algorithmically-driven writing tools
(ADWTs) and academic integrity, empirical data considering educators' perspectives on the …

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 …

[HTML][HTML] Graph-based extractive text summarization method for Hausa text

AA Bichi, R Samsudin, R Hassan, LRA Hasan… - Plos one, 2023 - journals.plos.org
Automatic text summarization is one of the most promising solutions to the ever-growing
challenges of textual data as it produces a shorter version of the original document with …

Generation of highlights from research papers using pointer-generator networks and scibert embeddings

T Rehman, DK Sanyal, S Chattopadhyay… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays many research articles are prefaced with research highlights to summarize the
main findings of the paper. Highlights not only help researchers precisely and quickly …