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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …