Self-organizing semantic maps

@article{Ritter2004SelforganizingSM,
  title={Self-organizing semantic maps},
  author={H. Ritter and T. Kohonen},
  journal={Biological Cybernetics},
  year={2004},
  volume={61},
  pages={241-254}
}
Self-organized formation of topographic maps for abstract data, such as words, is demonstrated in this work. The semantic relationships in the data are reflected by their relative distances in the map. Two different simulations, both based on a neural network model that implements the algorithm of the selforganizing feature maps, are given. For both, an essential, new ingredient is the inclusion of the contexts, in which each symbol appears, into the input data. This enables the network to… Expand
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