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Program Systems: Theory and Applications, 2016, Volume 7, Issue 1, Pages 135–152 (Mi ps208)  

Artificial Intelligence, Intelligent Systems, Neural Networks

Peculiarities of fine-grained factual information extraction from text

I. V. Trofimov

Ailamazyan Program Systems Institute of Russian Academy of Sciences
References:
Abstract: The paper states the problem of fine-grained factual information extraction form text. The author reveals some additional issues that arise from such formulation of the task. (In Russian).
Key words and phrases: natural language processing, information extraction, MUC, frame, implicit information in text.
Funding agency Grant number
Russian Foundation for Basic Research 14-07-00368_а
Received: 30.12.2015
Accepted: 15.03.2016
Document Type: Article
UDC: 004.89:004.912
Language: Russian
Citation: I. V. Trofimov, “Peculiarities of fine-grained factual information extraction from text”, Program Systems: Theory and Applications, 7:1 (2016), 135–152
Citation in format AMSBIB
\Bibitem{Tro16}
\by I.~V.~Trofimov
\paper Peculiarities of fine-grained factual information extraction from text
\jour Program Systems: Theory and Applications
\yr 2016
\vol 7
\issue 1
\pages 135--152
\mathnet{http://mi.mathnet.ru/ps208}
Linking options:
  • https://www.mathnet.ru/eng/ps208
  • https://www.mathnet.ru/eng/ps/v7/i1/p135
  • Citing articles in Google Scholar: Russian citations, English citations
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    Program Systems: Theory and Applications
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