WhileCollins and Quillian's (1969)model plays a largely historic role in psychology today, the concept of semantic networks and, more generally, graph-based representations of meaning, is very much alive in a variety of practical contexts. Computer scientists concerned with information retrieval, in...
causal andspatial relations, and that this function might be linked to the role of these regions in action understanding. An alternative view (although not mutually exclusive, and potentially connected to this idea), is that pMTG and IPL form part of a distributed semantic control network (see...
A semantic network or net is a graph structure for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology...
Page 1. Knowledge Enhanced Hybrid Neural Network for Text Matching Yu Wu, †? Wei Wu, ‡ Can Xu, ‡ Zhoujun Li †?? † State Key Lab of Software Development Environment, Beihang University, Beijing, China ‡ Microsoft … Rich Short Text Conversation Using Semantic-Key-Controlled Se...
Becker's Verification Model. Compound-cue Models. Distributed Network Models. The Interactive-activation Model. Other Models. Part 3: Major Issues and Findings. Baselines. Automatic Versus Strategic Priming. Associative Versus 'Pure' Semantic Priming. Mediated Versus Direct Priming. Effects of Lag. ...
1a). This region contains portions of the language-selective network together with several other high-level networks22,23,24,25, and has been shown to reliably represent semantic information during language comprehension11,26. Here recordings were performed in participants undergoing planned ...
Semantic Data. … Counter-Example(s): Declarative Information, Objective Information, Syntactic Information. See:Semantic Model,Semantic Information Retrieval System,Semantic Web,Semantic Network,Concept Record Set,Commonsense Knowledge,Distributional Semantic Modeling,Semantic Mediator Hypothesis,Standard Definition...
This model could also explain the double dissociation phenomena. In spite of the simplicity of its architecture, the attractor neural network might be considered to mimic human behavior in the meaning of semantic memory organization and its disorder. Although this model could explain various phenomenon...
Simulations of semantic memory in connectionist models suggest one reason why the semantic network might require a hub: without such an architecture, it is not clear how the system can learn representations that capture semantic similarity relations. ...
Fig. 9. A convnet and a fully connected neural network consisting of numerous dense layers. The framework uses main and meta features to learn the relationship between the status of a tweet and its engagement lifespan. Each channel in the architecture consists of (a) the length of the input...