Abstract
A method is proposed for use in summarization of text-based documents. By means of the method it is possible to discover latent topical sections and information-rich sentences. The underlying basis of the method — clustering of sentences — is formulated mathematically in the form of a problem of quadratic-type integer programming. An algorithm that makes it possible to determine with specified precision the optimal number of clusters is developed. The synthesis of a neural network is described for the purpose of solving a problem of integer quadratic programming.
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