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.
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
\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:
D. A. Devyatkin, J. M. Kuznetsova, “Mental actions and mental objects in the space of science discourse”, 48, no. 5, 2021, 308–314