Results 41 to 50 of about 7,273,685 (301)
The Representation of Coordinate Relations in Lexical Semantic Memory
Frontiers in Psychology, 2020 Two experiments examined the size of the typicality effect for true items in a category verification task as a function of the type of false item used.
Thomas M. Gruenenfelder
doaj +1 more source
Predication of Writing Originality Based on Computational Linguistics
Journal of Intelligence, 2022 Existing assessment methods of writing originality have been criticized for depending heavily on subjective scoring methods. This study attempted to investigate the use of topic analysis and semantic networks in assessing writing originality.
Liping Yang +3 more
doaj +1 more source
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach [PDF]
2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requirements on future 6G mobile network architectures.
E. Strinati +19 more
semanticscholar +1 more source
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Convolutional networks are the de-facto standard for analyzing spatio-temporal data such as images, videos, and 3D shapes. Whilst some of this data is naturally dense (e.g., photos), many other data sources are inherently sparse.
Benjamin Graham +2 more
semanticscholar +1 more source
Applied Sciences, 2019 This paper suggests a method for refining a massive amount of collective intelligence data and visualizing it with a multilevel sentiment network in order to understand the relevant information in an intuitive and semantic way.
Hyoji Ha +5 more
doaj +1 more source
A Survey on Semantic Communication Networks: Architecture, Security, and Privacy [PDF]
IEEE Communications Surveys and TutorialsWith the rapid advancement and deployment of intelligent agents and artificial general intelligence (AGI), a fundamental challenge for future networks is enabling efficient communications among agents.
Shaolong Guo +6 more
semanticscholar +1 more source
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks [PDF]
IEEE International Conference on Computer Vision, 2021 Instance segmentation in 3D scenes is fundamental in many applications of scene understanding. It is yet challenging due to the compound factors of data irregularity and uncertainty in the numbers of instances.
Zhihao Liang +4 more
semanticscholar +1 more source
Idols of Promotion and Authenticity on TikTok
Media and Communication, 2023 TikTok’s rapid growth in the past few years, especially in the younger demographic, may signal a market shift. With children, teens, and young adults reportedly making up 40% to 60% of its user base, the platform is becoming the strongest challenger to ...
Radu M. Meza +2 more
doaj +1 more source
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation [PDF]
, 2016 We propose a structured prediction architecture, which exploits the local generic features extracted by Convolutional Neural Networks and the capacity of Recurrent Neural Networks (RNN) to retrieve distant dependencies.
Bengio, Yoshua +7 more
core +2 more sources
Psychological methods, 2019 To date, the application of semantic network methodologies to study cognitive processes in psychological phenomena has been limited in scope. One barrier to broader application is the lack of resources for researchers unfamiliar with the approach ...
A. Christensen, Yoed N. Kenett
semanticscholar +1 more source