The Structure of a Semantic Neural Network Extracting the Meaning from a Text

Authors:
D. E. Shuklin
Affiliations:
Kharkov State Technical University of Radioelectronics, Ministry of Education of Ukraine, Kharkov, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2001

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Abstract

A clocked linear tree is considered as the structure of connections between neurons of a semantic neural network that can extract the meaning from a text on a real-time basis. The process of extracting the meaning from a text in a natural language is represented by the propagation of waves of neuron activity through the semantic neural network, and the meaning itself is represented by the state of the network.