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Program Systems: Theory and Applications, 2014, Volume 5, Issue 4, Pages 215–229 (Mi ps136)  
This article is cited in 2 scientific papers (total in 2 papers)

Artificial Intelligence, Intelligent Systems, Neural Networks

The time aspect modelling of situation description for information extraction task

Andrey Vinogradov, Ilya Vozdvizhenskiy, Dmitrii Kormalev, Evgenii Kurshev

Program Systems Institute of RAS
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Abstract: In this paper we give a brief overview of the state of the art in information extraction of time aspects from natural language texts. We introduce the main steps of such analysis. We analyze TimeML experience in event and time annotation. We study human interpretation of temporal expressions in the Russian-language news texts. (In Russian).
Key words and phrases: automatic information extraction, modal aspect, temporal information, temporal expressions, confusing temporal expressions, markup.
Received: 11.12.2014
Accepted: 29.12.2014
Document Type: Article
UDC: 519.767.6:004.81:81'322.2
Language: Russian
Citation: Andrey Vinogradov, Ilya Vozdvizhenskiy, Dmitrii Kormalev, Evgenii Kurshev, “The time aspect modelling of situation description for information extraction task”, Program Systems: Theory and Applications, 5:4 (2014), 215–229
Citation in format AMSBIB
\Bibitem{VinVozKor14}
\by Andrey~Vinogradov, Ilya~Vozdvizhenskiy, Dmitrii~Kormalev, Evgenii~Kurshev
\paper The time aspect modelling of situation description for information extraction task
\jour Program Systems: Theory and Applications
\yr 2014
\vol 5
\issue 4
\pages 215--229
\mathnet{http://mi.mathnet.ru/ps136}
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  • https://www.mathnet.ru/eng/ps/v5/i4/p215
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Program Systems: Theory and Applications
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