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Development of a Semantic and Syntactic Model of Natural Language by Means of Non-negative Matrix and Tensor Factorization

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Text, Speech and Dialogue (TSD 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8655))

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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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Anisimov, A., Marchenko, O., Taranukha, V., Vozniuk, T. (2014). Development of a Semantic and Syntactic Model of Natural Language by Means of Non-negative Matrix and Tensor Factorization. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2014. Lecture Notes in Computer Science(), vol 8655. Springer, Cham. https://doi.org/10.1007/978-3-319-10816-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-10816-2_40

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10815-5

  • Online ISBN: 978-3-319-10816-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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