Results 11 to 20 of about 3,357,090 (344)
Adapted large language models can outperform medical experts in clinical text summarization [PDF]
Nat Med, 2023 Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time.
Dave Van Veen +14 more
semanticscholar +2 more sources
Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey
IEEE Access, 2023 The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends to automatically create summaries of enormous amounts of text so that readers can save time and effort.
Bilal Khan +4 more
doaj +2 more sources
A Comprehensive Review of Arabic Text Summarization
IEEE Access, 2022 The explosion of online and offline data has changed how we gather, evaluate, and understand data. It is frequently difficult and time-consuming to comprehend large text documents and extract crucial information from them.
Asmaa Elsaid +3 more
doaj +2 more sources
A Survey of Automatic Text Summarization: Progress, Process and Challenges
IEEE Access, 2021 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 that needs to be efficiently summarized.
M. F. Mridha +5 more
doaj +2 more sources
Turkish abstractive text document summarization using text to text transfer transformer
Alexandria Engineering Journal, 2023 Text summarization is the process of reducing text size while preserving its key points. Thanks to this process, the reading time of the text is also reduced which contributes to reaching the desired information quickly, especially in today's world where
Betul Ay +3 more
doaj +2 more sources
Graph-based extractive text summarization method for Hausa text. [PDF]
PLoS ONE, 2023 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 fewer bytes, but the same information as the original document.
Abdulkadir Abubakar Bichi +4 more
doaj +2 more sources
Abstractive Arabic Text Summarization Based on Deep Learning [PDF]
Comput Intell Neurosci, 2022 Text summarization (TS) is considered one of the most difficult tasks in natural language processing (NLP). It is one of the most important challenges that stand against the modern computer system's capabilities with all its new improvement.
Y. Wazery +3 more
semanticscholar +2 more sources
YMER Digital, 2019 n the last few years, a huge amount of text data from different sources has been created every day. The enormous data which needs to be processed contains valuable detail which needs to be efficiently summarized so that it serves a purpose.
M. D +5 more
openaire +3 more sources
A Comprehensive Survey of Abstractive Text Summarization Based on Deep Learning [PDF]
Comput Intell Neurosci, 2022 With the rapid development of the Internet, the massive amount of web textual data has grown exponentially, which has brought considerable challenges to downstream tasks, such as document management, text classification, and information retrieval ...
Mengli Zhang +4 more
semanticscholar +2 more sources
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015 We present our state of the art multilingual text summarizer capable of single as well as multi-document text summarization. The algorithm is based on repeated application of TextRank on a sentence similarity graph, a bag of words model for sentence similarity and a number of linguistic pre- and post-processing steps using standard NLP tools.
Stefan Thomas +4 more
openaire +2 more sources