350 rub
Journal Highly available systems №1 for 2016 г.
Article in number:
Semantic analysis of large-scale collections of scientific texts
Keywords: semantic analysis of text relation-situational model scientific text information extraction
Authors:
G.S. Osipov - Dr. Sc. (Phys.-Math.), Professor, Deputy Director, FRC «Computer Science and Control» RAS (Moscow). E-mail: gos@isa.ru I.V. Smirnov - Ph. D. (Phys.-Math.), Associate Professor, Head of Laboratory, Institute for Systems Analysis of FRC CSC RAS (Moscow). E-mail: ivs@isa.ru
Abstract:
The paper considers the problem of linguistic processing of scientific texts. Relation-situational model of text and its application to solving NLP tasks such as information extraction, reused text detection, quality assessments of scientific texts are presented. Several technologies and systems for semantic processing of large-scale collections of scientific texts are listed.
Pages: 41-44
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