Abstract
The aim of this work is to construct computer methods for objective quality assessment of scientific documents (science and technical papers, dissertations, reports on R&D and design projects, application documents to hold them, patent documentation, etc.). Unlike computer programs, databases, handbooks of physical constants and other documents written in a specially structured formal language, such documents are unstructured. To objectify procedures for quality assessment of scientific texts written in natural languages, an approach is proposed that leverages computational analysis of semantic models of individual documents and collections of documents.
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Original Russian Text © M.G. Kreines, 2013, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2013, No. 2, pp. 64–75.
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Kreines, M.G. Methods of computational analysis of semantic models for quality assessment of scientific texts. J. Comput. Syst. Sci. Int. 52, 226–236 (2013). https://doi.org/10.1134/S1064230713020044
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DOI: https://doi.org/10.1134/S1064230713020044