The Experts below are selected from a list of 9996 Experts worldwide ranked by ideXlab platform

M. S. Karyaeva - One of the best experts on this subject based on the ideXlab platform.

V. N. Boykov - One of the best experts on this subject based on the ideXlab platform.

Graham Wilcock - One of the best experts on this subject based on the ideXlab platform.

  • Integrating natural language generation with XML web technology
    Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03, 2003
    Co-Authors: Graham Wilcock
    Abstract:

    The paper describes a software demo integrating Natural Language Generation (NLG) techniques with recent developments in XML web technology. The NLG techniques include a form of template-based generation, transformation of Text plan trees to Text Specification trees, and a multi-stage pipeline architecture. The web technology includes XSLT transformation processors, an XML database, a Java servlet engine, the Cocoon web publishing framework and a Java speech synthesizer. The software is all free, open-source.

S. K. Shubnikov - One of the best experts on this subject based on the ideXlab platform.

  • Methods of indicator-based assessment of knowledge transfer from science to technology
    Automatic Documentation and Mathematical Linguistics, 2017
    Co-Authors: V. A. Minin, I. M. Zatsman, V. A. Khavanskov, S. K. Shubnikov
    Abstract:

    Indicator-based assessment of information links between science and technology is considered. Link indicators are defined as a number or matrix of numerical values that characterize the intensity and various aspects of the knowledge transfer from different research areas to the technological area. A description of primary information resources used to determine these indicator values, including full-Text patent Specifications, is given. A description of secondary information resources generated in the process of full-Text Specification, including reference links on scientific publications cited in the Specifications, is represented. Initial and secondary resources are used to create and test an indicator-based information model for the assessment of science and technology links, on whose basis the integral and subject indicator values of the scientific knowledge rate of transfer to the information technology are determined.

V. A. Minin - One of the best experts on this subject based on the ideXlab platform.

  • Methods of indicator-based assessment of knowledge transfer from science to technology
    Automatic Documentation and Mathematical Linguistics, 2017
    Co-Authors: V. A. Minin, I. M. Zatsman, V. A. Khavanskov, S. K. Shubnikov
    Abstract:

    Indicator-based assessment of information links between science and technology is considered. Link indicators are defined as a number or matrix of numerical values that characterize the intensity and various aspects of the knowledge transfer from different research areas to the technological area. A description of primary information resources used to determine these indicator values, including full-Text patent Specifications, is given. A description of secondary information resources generated in the process of full-Text Specification, including reference links on scientific publications cited in the Specifications, is represented. Initial and secondary resources are used to create and test an indicator-based information model for the assessment of science and technology links, on whose basis the integral and subject indicator values of the scientific knowledge rate of transfer to the information technology are determined.