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Semantic analysis of large-scale collections of scientific texts

Keywords:

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


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.
References:

 

  1. Walker R.,Rocha da Silva P (2015) Emerging trends in peer review–a survey. Front. Neurosci. 9:169. doi: 10.3389/fnins.2015.00169.
  2. Zolotova G.A., Onipenko N.K., Sidorova M.JU. Kommunikativnaja grammatika russkogo jazyka. M. 2004. 544 s.
  3. Osipov G.S., Smirnov I.V., Tikhomirov I.A. Reljacionno-situacionnyjj metod poiska i analiza tekstov i ego prilozhenija // Iskusstvennyjj intellekt i prinjatie reshenijj.  2008. № 2. S. 3−10.
  4. Osipov G., Smirnov I., Tikhomirov I., Sochenkov I., Shelmanov A., Shvets A. Information Retrieval for R&D Support // Paltoglou, Georgios, Loizides, Fernando, Hansen, Preben (Eds.) Professional Search in the Modern World. – Lecture Notes in Computer Science (LNCS). SpringerInternationalPublishing. 2014. V. 8830 P. 45−69.
  5. Gennady Osipov, Ivan Smirnov, Ilya Tikhomirov, Artem Shelmanov. Relational–situational method for intelligent search and analysis of scientific publications // Proceedings of the Workshop on Integrating IR technologies for Professional Search, in conjunction with the 35th European Conference on Information Retrieval (ECIR’13). V. 968. Moscow. Russia: CEURWorkshopProceedings. 2013.
  6. Shelmanov A.O., Smirnov I.V., Vishneva E.A. Information extraction from clinical texts in Russian // Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference «Dialogue». 2015. V. 1. № 14(21). P. 537−549.
  7. Zubarev D., Sochenkov I.: Using Sentence Similarity Measure for Plagiarism Source Retrieval // Notebook for PAN at CLEF 2014. In: CEURWorkshopProceedings, CEUR-WS.org. Eds. Cappellato L., Ferro N., Halvey M., Kraaij W. 2014. P. 1027−1034.

 

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