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Program Systems: Theory and Applications, 2017, Volume 8, Issue 3, Pages 133–167
DOI: https://doi.org/10.25209/2079-3316-2017-8-3-133-167
(Mi ps270)
 

This article is cited in 2 scientific papers (total in 2 papers)

Artificial Intelligence, Intelligent Systems, Neural Networks

Up-to-date methods of the modality analysis in natural language texts

S. R. Egikian

Ailamazyan Program Systems Institute of Russian Academy of Sciences
Full-text PDF (914 kB) Citations (2)
References:
Abstract: The article reviews the up-to-date methods of recognizing and annotating modal characteristics in the natural language texts. Widespread views are presented in their diversity, including those concerned with the extended modality and those aiming at the differentiation between moralized and unmodalized information. (In Russian).
Key words and phrases: NLP, natural language processing, natural langage text mining, information extractiong, event extraction, modality, evidentiality, certainty, speculation.
Received: 05.07.2017
Accepted: 28.09.2017
Document Type: Article
UDC: 004.89:004.912
Language: Russian
Citation: S. R. Egikian, “Up-to-date methods of the modality analysis in natural language texts”, Program Systems: Theory and Applications, 8:3 (2017), 133–167
Citation in format AMSBIB
\Bibitem{Egi17}
\by S.~R.~Egikian
\paper Up-to-date methods of the modality analysis in natural language texts
\jour Program Systems: Theory and Applications
\yr 2017
\vol 8
\issue 3
\pages 133--167
\mathnet{http://mi.mathnet.ru/ps270}
\crossref{https://doi.org/10.25209/2079-3316-2017-8-3-133-167}
Linking options:
  • https://www.mathnet.ru/eng/ps270
  • https://www.mathnet.ru/eng/ps/v8/i3/p133
  • 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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    Abstract page:189
    Full-text PDF :105
    References:41
     
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