A Method for Automatic Construction of Ontological Knowledge Bases. II. Automatic Identification of Semantic Relations in Ontological Networks*

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• 作者：O. O. Marchenko
• 关键词：automatic knowledge extraction ; corpus linguistics ; ontology ; nonnegative tensor factorization
• 刊名：Cybernetics and Systems Analysis
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：52
• 期：2
• 页码：199-205
• 全文大小：109 KB
• 参考文献：1.T. Van de Cruys, “A non-negative tensor factorization model for selectional preference induction,” Journal of Natural Language Engineering, 16, No. 4, 417–437 (2010).CrossRef
  2.T. Van de Cruys, L. Rimell, T. Poibeau, and A. Korhonen, “Multi-way tensor factorization for unsupervised lexical acquisition,” in: Proc. COLING’2012, Mumbai, India (2012), pp. 2703–2720.
  3.C. J. Fillmore, “The case for case,” in: E. Bach and R. T. Harms (eds.), Universals in Linguistic Theory, Holt, Rinehart, and Winston, New York (1968), p. 88.
  4.O. O. Marchenko, “A method for automatic construction of ontological knowledge bases. I. Development of a semantic-syntactic model of natural language,” Cybernetics and Systems Analysis, 52, No. 1, 20–29 (2016).MathSciNet CrossRef
  5.A. V. Anisimov, O. O. Marchenko, and T. G. Vozniuk, “Determining semantic valences of ontology concepts by means of nonnegative factorization of tensors of large text corpora,” Cybernetics and Systems Analysis, 50, No. 3, 327–337 (2014).CrossRef MATH
  6.G. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. Miller, Introduction to WordNet: An Online Lexical Database, http://​wordnetcode.​princeton.​edu/​5papers.​pdf .
  7.D. H. Younger, “Recognition and parsing of context-free languages in time n3,” Information and Control, 10, No. 2, 189–208 (1967).CrossRef MATH
  
• 作者单位：O. O. Marchenko (1)
  
  1. Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
  
• 刊物类别：Mathematics and Statistics
• 刊物主题：Mathematics
  Systems Theory and Control
  Artificial Intelligence and Robotics
  Processor Architectures
  Software Engineering, Programming and Operating Systems
  Russian Library of Science
  
• 出版者：Springer New York
• ISSN：1573-8337

文摘

A semantic-syntactic model of natural language is presented. After the factorization of constructed tensors of the model, vectors representing the semantic-syntactic valence of words and describing the commutative behavior of words in a sentence are generated. A method is developed for computing vectors of the semantic-syntactic valence of concepts in an ontology that form an implicit description of their semantic relations. An algorithm is proposed for extracting explicit semantic relations between ontological concepts from vectors of their semantic-syntactic valence.