Results 121 to 130 of about 9,795,875 (280)
Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages
Big Data and Cognitive ComputingSentiment analysis is a crucial tool for measuring public opinion and understanding human communication across digital social media platforms. However, due to linguistic complexities and limited data or computational resources, it is under-represented in
Koena Ronny Mabokela +2 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk +7 more
wiley +1 more source
The Crúbadán Project: Corpus building for under-resourced languages
, 2007 We present an overview of the Crúbadán project, the aim of which is the creation of text corpora for a large number of under-resourced languages by crawling the ...
Kevin P. Scannell
core
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Integrating Hybrid AI Approaches for Enhanced Translation in Minority Languages
Applied SciencesThis study presents a hybrid artificial intelligence model designed to enhance translation quality for low-resource languages, specifically targeting the Hakka language.
Chen-Chi Chang +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Automating the creation of speech recognition systems for under-resourced languages [PDF]
, 2016 © 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these languages suffers frothe absence of speech services, therefore people cannot use them on their native languages and have to learn and use other languages in ...
Khusainov A., Suleymanov D.
core
Arthritis Care &Research, Accepted Article.Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in giant cell arteritis (GCA) patients. Methods This multicentre retrospective study included patients with GCA who received secukinumab at 14 Italian centres with at least 6 months of follow‐up.
Luca Iorio +29 more
wiley +1 more source
Information Extraction from Multi-Domain Scientific Documents: Methods and Insights
Applied SciencesThe rapid growth of scientific literature necessitates effective information extraction. However, existing methods face significant challenges, particularly when applied to multi-domain documents and low-resource languages.
Tatiana Batura +5 more
doaj +1 more source