Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2015, Issue 3, Pages 70–82 (Mi iipr333)  

This article is cited in 1 scientific paper (total in 1 paper)

Natural language processing

Functions, types, means of expression, and opportunities for the identification of definitions in scientific texts

J. M. Kuznetsova

Institute for Systems Analysis of Russian Academy of Sciences
Full-text PDF (466 kB) Citations (1)
Abstract: This article is a review of some current ideas about the structure, functions, and types of definitions as a form of knowledge expression typical of scientific communication. Special emphasis is placed on linguistic models of definition and their typologies based on structural and content-related peculiarities. A number of cases are considered to show that it may be especially difficult technically to identify structurally modified definitions that deviate from the common three-part structure and definitions expressed in more than one sentence.
Keywords: scientific text, scientific definition, automatic text processing.
English version:
Scientific and Technical Information Processing, 2016, Volume 43, Issue 5-6, Pages 296–305
DOI: https://doi.org/10.3103/S0147688216050038
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: J. M. Kuznetsova, “Functions, types, means of expression, and opportunities for the identification of definitions in scientific texts”, Artificial Intelligence and Decision Making, 2015, no. 3, 70–82; Scientific and Technical Information Processing, 43:5-6 (2016), 296–305
Citation in format AMSBIB
\Bibitem{Kuz15}
\by J.~M.~Kuznetsova
\paper Functions, types, means of expression, and opportunities for the identification of definitions in scientific texts
\jour Artificial Intelligence and Decision Making
\yr 2015
\issue 3
\pages 70--82
\mathnet{http://mi.mathnet.ru/iipr333}
\elib{https://elibrary.ru/item.asp?id=24876395}
\transl
\jour Scientific and Technical Information Processing
\yr 2016
\vol 43
\issue 5-6
\pages 296--305
\crossref{https://doi.org/10.3103/S0147688216050038}
Linking options:
  • https://www.mathnet.ru/eng/iipr333
  • https://www.mathnet.ru/eng/iipr/y2015/i3/p70
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:32
    Full-text PDF :10
    References:1
     
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