Results 11 to 20 of about 3,311,851 (284)
Hybrid attention mechanism for few‐shot relational learning of knowledge graphs
IET Computer Vision, 2021 Few‐shot knowledge graph (KG) reasoning is the main focus in the field of knowledge graph reasoning. In order to expand the application fields of the knowledge graph, a large number of studies are based on a large number of training samples.
Ruixin Ma +3 more
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Entropy, 2022 Complex networks are often used to analyze written text and reports by rendering texts in the form of a semantic network, forming a lexicon of words or key terms.
Ismo Koponen, Ilona Södervik
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Estimating semantic networks of groups and individuals from fluency data. [PDF]
Comput Brain Behav, 2018 Zemla JC, Austerweil JL.
europepmc +2 more sources
What's in a semantic network? [PDF]
Proceedings of the 20th annual meeting on Association for Computational Linguistics -, 1982 Ever since Wood's "What's in a Link" paper, there has been a growing concern for formalization in the study of knowledge representation. Several arguments have been made that frame representation languages and semantic-network languages are syntactic variants of the first-order predicate calculus (FOPC). The typical argument proceeds by showing how any
James F. Allen, Alan M. Frisch
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Design representation as semantic networks
Computers in Industry, 2023 Design representation is a common task in the design process to facilitate learning, analysis, redesign, communication, and other design activities. Traditional representation techniques rely on human expertise and manual construction and are difficult to repeat and scale.
Serhad Sarica, Ji Han, Jianxi Luo
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An Investigation of Phonological and Semantic Control Using TMS and fMRI [PDF]
, 2012 This thesis aimed to investigate the neural basis of linguistic and semantic control across brain networks, using fMRI and TMS. Firstly we assessed the contribution of premotor cortex (PMC) to speech perception: TMS disrupted phonological but not ...
Krieger-Redwood, Katya M
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Semantic Artificial Neural Networks [PDF]
, 2020 Neural networks have achieved in recent years human level performance in various application domains, including critical applications where accountability is a very important issue, closely related to the interpretability of neural networks and ...
Tachmazidis, Ilias +11 more
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Brain Sciences, 2021 While recent research suggests that toddlers tend to learn word meanings with many “perceptual” features that are accessible to the toddler’s sensory perception, it is not clear whether and how building a lexicon with perceptual connectivity supports ...
Ryan E. Peters +2 more
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Semantic-based policy engineering for autonomic systems [PDF]
, 2004 This paper presents some important directions in the use of ontology-based semantics in achieving the vision of Autonomic Communications. We examine the requirements of Autonomic Communication with a focus on the demanding needs of ubiquitous computing ...
Carey, Kevin +14 more
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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
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