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Program Systems: Theory and Applications, 2012, Volume 3, Issue 3, Pages 57–70 (Mi ps73)  
Artificial Intelligence, Intelligent Systems, Neural Networks

Role of knowledge in information extraction systems

E. P. Kurshev, E. A. Suleymanova, I. V. Trofimov

Program Systems Institute of RAS, Pereslavl'-Zalesskii, Yaroslavskaya obl.
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Abstract: The paper describes the stages of rule-based information extraction. The issues of using formalized domain knowledge at the stages of syntactic-semantic analysis and information extraction proper are touched upon. The value of enriching the extracted information with background knowledge is emphasized, and a way of implementing this function is considered.
Key words and phrases: Information extraction, background knowledge, semantic analysis.
Document Type: Article
UDC: 004.89:004.912
Language: Russian
Citation: E. P. Kurshev, E. A. Suleymanova, I. V. Trofimov, “Role of knowledge in information extraction systems”, Program Systems: Theory and Applications, 3:3 (2012), 57–70
Citation in format AMSBIB
\Bibitem{KurSulTro12}
\by E.~P.~Kurshev, E.~A.~Suleymanova, I.~V.~Trofimov
\paper Role of knowledge in information extraction systems
\jour Program Systems: Theory and Applications
\yr 2012
\vol 3
\issue 3
\pages 57--70
\mathnet{http://mi.mathnet.ru/ps73}
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