Scientific and Technical Information Processing

, Volume 44, Issue 5, pp 309–313 | Cite as

Definition in the Semantic Structure of a Scientific Text

  • Yu. M. Kuznetsova


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.


scientific text semantic structure definition automated text processing 


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  1. 1.
    Allakhverdyan, A.G., Moshkova, G.Yu., Yurevich, A.V., and Yaroshevskii, M.G., Psikhologiya nauki (Psychology of Science), Moscow: Izd. Flinta, 1998.Google Scholar
  2. 2.
    Anisimova, A.G., Methodology of translation of English-language terms of humanitarian and socio political sciences, Extended Abstract of Doctoral (Filol.) Dissertation, Moscow, 2010.Google Scholar
  3. 3.
    Apresyan, Yu.D., Idei i metody sovremennoi strukturnoi lingvistiki (kratkii ocherk) (Ideas and Methods of Modern Structural Linguistics (Short Essay)), Moscow: Prosveshchenie, 1966.Google Scholar
  4. 4.
    Belen’kii, A., Extraction of information from unstructured texts, Komp’yuterPress, 2008, no. 2, pp. 74–79.Google Scholar
  5. 5.
    Bol’shakova, E.I. and Vasil’eva, N.E., Terminological variability and its accounting for automatic text processing, Odinnadtsataya Natsional’naya konferentsiya po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-2008. Trudy konferentsii v 3-kh tomakh (Eleventh National Conference on Artificial Intelligence with International Participation KII-2008. Proceedings of the conference in three volumes), Moscow: Fizmatlit, 2008, vol. 2, pp. 174–182.Google Scholar
  6. 6.
    Bol’shakova, E.I., Vasil’eva, N.E., and Morozov, S.S., Lexico-syntactic templates for automatic analysis of scientific and technical texts, Trudy Desyatoi natsion. konf. po iskusstven. intel. s mezhdunar. uchast. KII-2006 (Proceedings of the Tenth National. Conf. On Artificial Intell. with Int. Participants KII-2006), Moscow: Fizmatlit, 2006, vol. 2, pp. 506–524.Google Scholar
  7. 7.
    Vasil’eva, N.E., Templates for the use of terms and their use in the automatic processing of scientific and technical texts, Komp’yuternaya lingvistika i intellektual’nye tekhnologii: Trudy Mezhdunarodnoi konferentsii Dialog ‘2004 (Computer Linguistics and Intellectual Technologies: Proceedings of the International Conference Dialog ‘2004), Moscow, 2004.Google Scholar
  8. 8.
    Gak, V.G., Space of thought: (Experience of systematization of words of the mental field), in Logicheskii analiz yazyka: Mental’nye deistviya (Logical Analysis of the Language: Mental Actions), Moscow: Nauka, 1993.Google Scholar
  9. 9.
    Gibatova, G.F., The world of thought in Russian predicates, Izv. RSPU im. A. I. Gertsena, 2010, no. 124. Scholar
  10. 10.
    Gorodetskii, B.Yu., Computer linguistics: Modeling of language communication, in Novoe v zarubezhnoi lingvistike: Vyp. XXIV. Komp’yuternaya lingvistika (New in Foreign Linguistics: Vol. XXIV. Computer Linguistics), Gorodetskii, B.Yu., Ed., Moscow: Progress, 1989, pp. 36–51.Google Scholar
  11. 11.
    Drozdova, T.V., Scientific text and problems of its understanding (on the basis of English-language economic texts), Extended Abstract of Doctoral (Filol.) Dissertation, Moscow, 2003.Google Scholar
  12. 12.
    Zarva, A.M., Definitions as a typological version of a scientific text, Extended Abstract of Cand. Sci. (Filol.) Dissertation, Nal’chik, 2003.Google Scholar
  13. 13.
    Zakharov, V.N. and Khoroshilov, A.A., Automatic evaluation of similarity of the thematic content of texts on the basis of comparing their formalized semantic descriptions, in Elektronnye biblioteki: Perspektivnye metody i tekhnologii, elektronnye kollektsii: Trudy XIV Vserossiiskoi nauchnoi konferentsii RCDL’2012 (Pereslavl’-Zalesskii, 15–18 oktyabrya 2012) (Electronic Libraries: Advanced Methods and Technologies, Digital Collections: Proceedings of the XIV All-Russian Scientific Conference RCDL’2012 (Pereslavl- Zalessky, October 15–18, 2012)), Pereslavl’-Zalesskii, 2012, pp. 189–195.Google Scholar
  14. 14.
    Zimovaya, M.V., Polysemy in terminology, Extended Abstract of Cand. Sci. (Filol.) Dissertation, Orel, 2011.Google Scholar
  15. 15.
    Izvol’skaya, I.V., Text-forming role of terms, Vopr. Filol. Nauk, 2008, no. 6, pp. 56–58.Google Scholar
  16. 16.
    Kamenskaya, O.L., Tekst i kommunikatsiya (Text and Communication), Moscow: Vysshaya shkola, 1990.Google Scholar
  17. 17.
    Kotyurova, M.P. and Bazhenova, E.A., Kul’tura nauchnoi rechi: Tekst i ego redaktirovanie (Culture of Scientific Speech: Text and Its Editing), Moscow: Flinta: Nauka, 2008.Google Scholar
  18. 18.
    Kuznetsova, Yu.M., Osipov, G.S., and Chudova, N.V., The study of the state of affairs in science using methods of intellectual text analysis, Upr. Bol’shimi Sist.: Sb. Tr., 2013, no. 44, pp. 106–138.Google Scholar
  19. 19.
    Mitrofanova, O.D., Nauchnyi stil' rechi: Problemy obucheniya (Scientific Style of Speech: Problems of Learning), Moscow: Russkii yazyk, 1985.Google Scholar
  20. 20.
    Naikhanova, L.V., Basic types of semantic relations between terms of the subject domain, Izv. Vyssh. Uch. Zaved., Povolzh. Reg., Tekh. Nauki, Inf. Vychisl. Tekh. Upr., 2008, no. 1, pp. 62–71.Google Scholar
  21. 21.
    Naikhanova, L.V., Tekhnologiya sozdaniya metodov avtomaticheskogo postroeniya ontologii s primeneniem geneticheskogo i avtomatnogo programmirovaniya (The Technology of Creating Methods for Automatic Construction of Ontologies Using Genetic and Automatic Programming), Ulan-Ude: Izd. BNTs SO RAN, 2008.Google Scholar
  22. 22.
    Nekrasov, S.I. and Molchanova, N.S., The importance of the theory of frames in modern science, Nauchn. Ved., 2009, no. 16 (71), pp. 13–17.Google Scholar
  23. 23.
    Novikov, A.I., Semantika teksta i ee formalizatsiya (Text Semantics and Its Formalization), Moscow: Nauka, 1983.Google Scholar
  24. 24.
    Notina, E.A., Mezh”yazykovaya oposredovannaya nauchnaya kommunikatsiya (Interlanguage Mediated Scientific Communication), Moscow: Izd. RUDN, 2005.Google Scholar
  25. 25.
    Osipov, G.S., Smirnov, I.V., Tikhomirov, I.A., Sochenkov, I.V., and Shvets, A.V., Services to support scientific and educational activities in the Exactus Expert system. Scholar
  26. 26.
    Rakitina, S.V., Cognitive-discursive space of scientific text, Extended Abstract of Doctoral (Filol.) Dissertation, Volgograd, 2007.Google Scholar
  27. 27.
    Stul’, Ya.E. and Sukhanov, K.N., Filosofskie voprosy tekhnicheskogo znaniya (Philosophical Issues of Technical Knowledge), Moscow: Nauka, 1984.Google Scholar
  28. 28.
    Superanskaya, A.V., Podol’skaya, N.V., and Vasil’eva, N.V., Obshchaya terminologiya: Voprosy teorii (General Terminology: Problems of Theory), Moscow: Nauka, 1989.Google Scholar
  29. 29.
    Trusov, V.E., The peculiarity of definitions in various functional styles as varieties of types of thinking (on the basis of scientific and artistic styles), Extended Abstract of Cand. Sci. (Filol.) Dissertation, Saratov, 2008.Google Scholar
  30. 30.
    Khlodionova, S.I., The culture of scientific speech: The semantic structure of the scientific text. Scholar
  31. 31.
    Tsymbal, N.A., The problems of studying scientific terminology in modern linguistics. http://dspace.udpu. Scholar
  32. 32.
    Chelnokova, Yu.A. and Shabun’ko, L.G., Scientifictechnical and medical terms: Problems of translation, Pat. Litsenzii, 2007, no. 4, pp. 50–52.Google Scholar
  33. 33.
    Shatunovskii, I.B., Epistemic verbs: Communicative perspective, presumptions, and pragmatics, in Logicheskii analiz yazyka: Znanie i mnenie (Logical Analysis of the Language: Knowledge and Opinion), Moscow: Nauka, 1988, pp. 18–22.Google Scholar
  34. 34.
    Shilova, E.V., Terminological definitions as a metatext in Russian- and English-language scientific and technical literature, Extended Abstract of Cand. Sci. (Filol.) Dissertation, Ekaterinburg, 2005.Google Scholar
  35. 35.
    Anke, L.E., Towards definition extraction using conditional random fields, Proceedings of the Student Research Workshop associated with RANLP 2013, Hissar, 2013, pp. 63–70. Scholar
  36. 36.
    Borg, C., Rosner, M., and Pace, G.J., Automatic grammar rule extraction and ranking for definitions, LREC, 2010, p. 5. Scholar
  37. 37.
    Del Gaudio, R. and Branco, A., Language independent system for definition extraction: First results using learning algorithms, Proceedings of International Workshop on Definition Extraction. RANLP-2009, Borovets, 2009, pp. 33–40. Scholar
  38. 38.
    Iftene, A., Trandabăt, D., and Pistol, I., Grammar-based Automatic Extraction of Definitions. Applications for Romanian, Proceedings of 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2008), Timişoara, 2008, pp. 112–117. hl=ru&user=p2ScknsAAAAJ&citation_for_view =p2ScknsAAAAJ:UeHWp8X0CEIC.Google Scholar
  39. 39.
    Proceedings of International Workshop on Definition Extraction. RANLP-2009, Borovets, 2009. Scholar
  40. 40.
    Storrer, A. and Wellinghoff, S., Automated detection and annotation of term definitions in German text corpora, Proceedings of LREC, Genoa, 2006, pp. 275–295. Scholar
  41. 41.
    Walter, S., Linguistic description and automatic extraction of definitions from German court decisions. Scholar
  42. 42.
    Westerhout, E.N., Definition extraction for glossary creation. A study on extracting definitions for semiautomatic glossary creation in Dutch, PhD Dissertation, Utrecht University, Utrecht: LOT, 2010.Google Scholar
  43. 43.
    Yiping, J., Mining scientific terms and their definitions: A study of the ACL anthology, Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), Seattle. sg/publications/2013/emnlp2013_yp.pdf.Google Scholar

Copyright information

© Allerton Press, Inc. 2017

Authors and Affiliations

  1. 1.Institute for Systems AnalysisRussian Academy of SciencesMoscowRussia

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