Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Моделі оцінювання схожості природно-мовних текстів з використанням онтологічної бази знань WordNet

Ansimov A.1, Lyman C.1, Marchenko O.3, Lupiychuk R.1
1 Kyiv National Taras Shevchenko University
3 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

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UDC: 004.89
Publication Language: Russian
Stuc. intelekt. 2011; 16(4):74-79

Abstract: The developed model of text semantic similarity estimation that uses WordNet ontology as knowledge base is described in this article. The main feature of this model is involving of the cluster analysis and multitext processing ability. The comparative analysis of this model to other similar models is performed.

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References:

  1. http://wordnet.princeton.edu/
  2. Anisimov A.V. Iskusstvennyj intellekt. Vyp. 3. 2010. S. 170-176.
  3. Leacock CFellbaum C. ed.WordNet: An electronic lexical data base. MIT Press. 1998. P. 265-283.
  4. Resnik P. Proceedings of the 14th International Joint Conference on Artificial Intelligence.1995. P. 448-453.
  5. Tsang V. Computational Linguistics. Vol. 36. 2010. P. 31-69.
  6. JoachimsТ. Text Categorization with Support Vector Machines: Learning with Many Relevant Features. 1998.

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