Development of a semantic and syntactic model of natural language by means of non-negative matrix and tensor factorization

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Development of a semantic and syntactic model of natural language by means of non-negative matrix and tensor factorization is a 2014 conference paper written in English by Anisimov A., Marchenko O., Taranukha V., Vozniuk T. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

[edit] Abstract

A method for developing a structural model of natural language syntax and semantics is proposed. Syntactic and semantic relations between parts of a sentence are presented in the form of a recursive structure called a control space. Numerical characteristics of these data are stored in multidimensional arrays. After factorization, the arrays serve as the basis for the development of procedures for analyses of natural language semantics and syntax.

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