Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2466/pr0.1969.25.2.349 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
EXPRESS: A Megastudy of Lexico-semantic Effects in Single-word Shadowing.
Q J Exp Psychol (Hove)
January 2025
Department of Psychology, National University of Singapore.
Lexico-semantic effects in lexical decision and semantic categorization tasks have been investigated using the megastudy approach, but not with other traditional spoken word recognition tasks. To address this gap, the present megastudy, using words from the McRae et al. (2005) norms, examined the single-word shadowing task, where 96 native English speakers repeated aloud each word they heard as quickly and as accurately as possible.
View Article and Find Full Text PDFLeveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders.
Sci Rep
January 2025
Department of Electrical Power, Adama Science and Technology University, Adama, 1888, Ethiopia.
Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in computer vision. In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. Differences between the two domains, such as significant variations in the scale of visual things and the higher granularity of pixels in images compared to words in the text, make it difficult to transfer Transformer from language to vision.
View Article and Find Full Text PDFEfficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation.
Sensors (Basel)
January 2025
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.
Universal image segmentation aims to handle all segmentation tasks within a single model architecture and ideally requires only one training phase. To achieve task-conditioned joint training, a task token needs to be used in the multi-task training to condition the model for specific tasks. Existing approaches generate the task token from a text input (e.
View Article and Find Full Text PDFGrammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts.
Front Artif Intell
January 2025
Center for Cognitive Interaction Technology (CITEC), Technical Faculty, Bielefeld University, Bielefeld, Germany.
Background: In the field of structured information extraction, there are typically semantic and syntactic constraints on the output of information extraction (IE) systems. These constraints, however, can typically not be guaranteed using standard (fine-tuned) encoder-decoder architectures. This has led to the development of constrained decoding approaches which allow, e.
View Article and Find Full Text PDFEffects of digital and non-digital parental distraction on parent-child interaction and communication.
Front Child Adolesc Psychiatry
May 2024
Faculty of Social Work (HETSL | HESSO), University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland.
Technoference, namely parental screen use in the presence of a child, is a widespread phenomenon that has negative effects on parent-child interaction and communication. When parents use screens around their children there are fewer interactions and parents are less contingent and responsive to the child. Additionally, children show more negative behaviors, such as whining, frustration, and outbursts.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!