Results 91 to 100 of about 2,663,123 (277)
Modeling Disfluency Effects: Are Frequency Effects Magnified in A Semantic Categorization Task?
, 2023 This experiment examines the underlying mechanisms associated with the perceptual disfluency effect. The perceptual disfluency effect refers to the phenomenon of better memory for to-be-learned material when it is presented in a hard-to-read format ...
Pablo Gomez, Jason Geller
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Semantic context effects in picture naming and categorization are central to word production theories. However, unlike naming studies, categorization studies have shown inconsistent results. Recently, Wöhner, Luckow et al.
Jörg D. Jescheniak +3 more
core +2 more sources
Advanced Science, EarlyView.Using single‐cell transcriptomic and epigenomic profiling, researchers mapped microglial dysfunction across the lifespan of db/db mice. The authors uncovered a nonlinear microglial remodeling featuring early inflammatory priming, a mid‐stage transcriptional inflection, and late dysfunction.
Jizhou Zhang +6 more
wiley +1 more source
P300 auditory evoked potentials : semantic categorization in adults [PDF]
, 1997 Cortical event-related potentials (ERP) were recorded at Fz, Cz, F3, F4, P3, and P4 scalp sites in 19 normal right-handed females between the ages 20-35.
Wilson, Deanne Morgan
core
Syntactic and Semantic Kernels for Short Text Pair Categorization
, 2009 Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on lan-guage models and bag-of-words. There-fore, learning methods to exploit syntax and semantics are required.
Alessandro Moschitti
core +1 more source
Impaired emotion perception and categorization in semantic aphasia
, 2021 This data was collected for the manuscript 'Impaired emotion perception and categorization in semantic aphasia'. We studied a sample of left hemisphere stroke patients with 'semantic aphasia', characterised as multimodal impairment in the controlled ...
Souter, N (via Mendeley Data) +1 more
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Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
, 2021 Goh, W. D., Yap, M. J., Lau, M. C., Ng, M. R., & Tan, L-C. (2016). Semantic richness effects in spoken word recognition: A lexical decision and semantic categorization megastudy. Frontiers in Psychology. 7:976.
Mabel Lau +3 more
core +1 more source
Humanities & Social Sciences CommunicationsKnowledge concepts are acquired through both sensory and language-based experiences. Among these, olfactory abstraction is particularly challenging and often neglected in conceptual research.
Yue Qi +6 more
doaj +1 more source