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Learning to understand—General aspects of using Self-Organizing Maps in natural language processing
1998
AIP Conference Proceedings
The Self-Organizing Map (SOM) is an artificial neural network model based on unsupervised learning. In this paper, the use of the SOM in natural language processing is considered. The main emphasis is on natural features of natural language including contextuality of interpretation, and the communicative and social aspects of natural language learning and usage. The SOM is introduced as a general method for the analysis and visualization of complex, multidimensional input data. The approach of
doi:10.1063/1.56323
fatcat:6krhqhsg3vafrokn3uptgogjs4