Results 101 to 110 of about 3,357,090 (344)
, 2021 With the rapid popularization of the Internet and the overexpansion of information, it is an urgent need for a text compression technology to extract condensed information for readers. Automatic text summarization, also known as document summarization, is such an information compression technology that automatically converts document (or a collection ...
Chengqing Zong, Rui Xia, Jiajun Zhang
openaire +3 more sources
Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen +11 more
wiley +1 more source
Arabic text summarization using deep learning approach
Journal of Big Data, 2020 Natural language processing has witnessed remarkable progress with the advent of deep learning techniques. Text summarization, along other tasks like text translation and sentiment analysis, used deep neural network models to enhance results.
Molham Al-Maleh, Said Desouki
doaj +1 more source
Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel +5 more
wiley +1 more source
International Journal of Computer Applications, 2015 This paper investigates on sentence extraction based single Document summarization. It saves time in our daily work once we get summarized data. Today there are so many Documents, articles, papers and reports available in digital form, but most of them lack summaries. Automatic text Summarization is a technique where a computer summarizes a text.
Roshani Agrawal +3 more
openaire +1 more source
Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz +3 more
wiley +1 more source
, 2012 Today, with digitally stored information available in abundance, even for many minor languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one such technique, where a computer summarizes a longer text to a shorter non-redundant form.
Hassel, Martin, Dalianis, Hercules
openaire +3 more sources
Extractive Text Summarization Using Deep Learning for Tigrigna Language [PDF]
, 2023 Meresa Hiluf Gebrehiwot, Michael Melese
openalex +1 more source
Effectiveness and Safety of Nusinersen and Risdiplam in Spinal Muscular Atrophy: A Systematic Review
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinal Muscular Atrophy (SMA) is a rare genetic disorder marked by progressive muscle weakness and mobility loss. It has a profound physical, emotional and social impact on patients and caregivers, requiring comprehensive medical and supportive care.
Amin Mehrabian +9 more
wiley +1 more source
A Topical Category-Aware Neural Text Summarizer
Applied Sciences, 2020 The advent of the sequence-to-sequence model and the attention mechanism has increased the comprehension and readability of automatically generated summaries.
So-Eon Kim +2 more
doaj +1 more source