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Artificial Intelligence and Decision Making, 2016, Issue 1, Pages 3–8
(Mi iipr271)
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This article is cited in 1 scientific paper (total in 1 paper)
Natural language processing
Definition in the semantic structure of a scientific text
J. M. Kuznetsova Institute for Systems Analysis of Russian Academy of Sciences
Abstract:
This paper demonstrates on a theoretical level that a text model that is organized using textual definitions as its elements may represent content more adequately compared to a model using terms and their relationships as its constructs.
Keywords:
scientific text, semantic structure, definition, automated text processing.
Citation:
J. M. Kuznetsova, “Definition in the semantic structure of a scientific text”, Artificial Intelligence and Decision Making, 2016, no. 1, 3–8; Scientific and Technical Information Processing, 44:5 (2017), 309–313
Linking options:
https://www.mathnet.ru/eng/iipr271 https://www.mathnet.ru/eng/iipr/y2016/i1/p3
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Statistics & downloads: |
Abstract page: | 18 | Full-text PDF : | 12 | References: | 1 |
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