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Найдены 33 263 публикации
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Глава
Irina Utkina, Mikhail Batsyn. In bk.: Models, Algorithms and Technologies for Network Analysis, Springer Proceedings in Mathematics & Statistics. Vol. 156. Switzerland: Springer, 2016. P. 115-124.
Добавлено: 23 октября 2018
Глава
Stukach O., Romanyuk A. N., Ivanov Y. Y. In bk.: 2017 International Siberian Conference on Control and Communications (SIBCON). IEEE, 2017. Ch. 1. P. 1-6.
Добавлено: 8 января 2019
Глава
Volosyuk O. V. In bk.: Испания и Россия: дипломатия и диалог культур. Три столетия отношений. España y Rusia: diplomacia y diálogo de culturas. Tres siglos de relaciones.. M.: Издательство "Индрик", 2018. P. 505-513.

В главе рассматривается установление дипломатических отношений между Испанией и Россией и оценивается роль Петра I в этом процессе. Особое внимание уделяется развитию торговых отношений между двумя странами. В тексте использованы новые архивные документы.

Добавлено: 23 декабря 2018
Глава
Kondrashova E. V. In bk.: 3rd International Multidisciplinary Scientific Conference on Social Sciences and Arts. Vol. 3. Bk. 1. Sofia: STEF92 Technology Ltd., 2016. P. 53-59.
Добавлено: 30 августа 2016
Глава
Gasparyan D. In bk.: Rationality in Action: Intentions, Interpretations and Interactions. St. Petersburg: Aletheya, 2015.
Добавлено: 2 ноября 2015
Глава
Polterovich V. M., Tonis A. In bk.: XI международная научная конференция по проблемам развития экономики и общества: В 3 кн. Кн. 1.. Bk. 1. M.: Higher School of Economics Publishing House, 2011. P. 504-516.

Each developing country tries to catch up with the developed world. Unfortunately, only few economies were able to reach this purpose during last sixty years. Well-known Gershenkonђs argument - «advantage of backwardness» - does not work properly in most cases [Gershenkon, 1962]. Though imitations of technologies and governance methods are much cheaper than innovations, the imitation process is also costly and requires sophisticated approaches of choosing and harmonizing different kinds of economic policies.

Добавлено: 12 августа 2013
Глава
Artemova E., Чугунова О. Н., Аскарова Ю. А. et al. In bk.: CDUD – 2010: International Workshop on Concept Discovery in Unstructured Data. M.: Higher School of Economics Publishing House, 2011. P. 20-31.
Добавлено: 27 декабря 2012
Глава
Levina T. In bk.: What is to Be Done? Art Practice, Theory and Criticism in Russia during the Long Nineteenth Century. Berlin: Logos Verlag Berlin, 2020.
Добавлено: 17 июля 2019
Глава
Schwab M., Jäschke R., Fischer F. et al. In bk.: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Hong Cong: Association for Computational Linguistics, 2019. P. 6237-6242.

Attributing a particular property to a person by naming another person, who is typically wellknown for the respective property, is called a Vossian Antonomasia (VA). This subtpye of metonymy, which overlaps with metaphor, has a specific syntax and is especially frequent in journalistic texts. While identifying Vossian Antonomasia is of particular interest in the study of stylistics, it is also a source of errors in relation and fact extraction as an explicitly mentioned entity occurs only metaphorically and should not be associated with respective contexts. Despite rather simple syntactic variations, the automatic extraction of VA was never addressed as yet since it requires a deeper semantic understanding of mentioned entities and underlying relations. In this paper, we propose a first method for the extraction of VAs that works completely automatically. Our approaches use named entity recognition, distant supervision based on Wikidata, and a bi-directional LSTM for postprocessing. The evaluation on 1.8 million articles of the New York Times corpus shows that our approach significantly outperforms the only existing semi-automatic approach for VA identification by more than 30 percentage points in precision.

Добавлено: 29 ноября 2019
Глава
Kuzminov Y. I. In bk.: Paying the Professoriate: A Global Comparison of Compensation and Contracts. L.: Routledge, 2012. P. 331-341.
Добавлено: 11 января 2013
Глава
Froumin I., Kardanova E., Enchikova E. S. et al. In bk.: INTED 2013 Proceedings. 7th International Technology, Education and Development Conference. Valencia, Spain. 4-5 March, 2013. Valencia: IATED, 2013. P. 447-465.

The presentation considers the problem of the academic heterogeneity among universities freshmen. This problem is widely discussed in circumstances of demographic decline when higher education becomes widespread. As a result differentiation of universities based on the quality of students' freshmen arises: some universities admit predominately high-scored students, while the others have a large variation in students’ preparation level. Universities have to work with non-uniform contingent of students. In Russia the Unified State Exam (USE) is used to admit students to the universities. There are two obligatory exams (Mathematics and Russian language) and different optional exams which students can choose depending on their future direction of study. Scores for USE are the only basis for students’ admission to universities. The points of interest are simultaneously the quality of admission and its heterogeneity. Heterogeneity implies differences in the student’s USE scores in one university. The data base includes USE scores of all students enrolled in all universities in 2011-2012 in the context of different majors. The procedure of academic heterogeneity investigation has been developed with the 5-points scale of heterogeneity levels. There are two types of issues in this research. The first one includes the analysis of academic heterogeneity indicators over years and the classification of universities based on their heterogeneity. The second issue concerns intra-university level and includes the following points: • Identification of factors that influence academic heterogeneity of enrolled students • Analysis of heterogeneity in the context of different majors • Analysis of the dynamics of academic heterogeneity over the years • The university contribution to the dynamics of heterogeneity during the period of education. • Recommendations for dealing with heterogeneous contingent of students. For assessing student’s heterogeneity traditional statistical methods were applied as well as mathematical modeling based on Item Response Theory (IRT). The use of IRT methods allows us to place all the data on the unique metric scale, construct classification of universities on the quality of admission and assess heterogeneity. Despite the differences in the systems of state exams and the academic selectivity in various countries the methods developed can be used to assess the heterogeneity of university freshmen in each country.

Добавлено: 28 марта 2013
Глава
Maria Yudkevich, Elizaveta Sivak. In bk.: Academic Inbreeding and Mobility in Higher Education. Global Perspectives. L.: Palgrave Macmillan, 2015. Ch. 6. P. 130-155.

In the chapter concerning inbreeding in Russian universities the authors draw data from several sources (studies of higher educational sector in Russia and statistics from the Ministry of education and science and Russian Statistical Agency) to estimate consequences of inbreeding on micro and macro levels.

Добавлено: 28 декабря 2014
Глава
Olga Gorelova, Maria Yudkevich. In bk.: Academic Inbreeding and Mobility in Higher Education. Global Perspectives. L.: Palgrave Macmillan, 2015. Ch. 2. P. 17-44.
Добавлено: 6 ноября 2014
Глава
Strinyuk S. A., Shuchalova Y., Lanin V. In bk.: Application of Information and Communication Technologies (AICT), 2015 9th International Conference on,14-16 Oct. 2015. Rostov-on-Don: IEEE, 2015. P. 506-510.

About AICT2015 Conference: On behalf of the Steering Committee, we welcome you to the 9th International Conference on Application of Information and Communication Technologies (AICT2015) devoted to 100th anniversary of Southern Federal University will be held in Rostov-on-Don, Russia on the 14, 15 and 16th of October 2015. The AICT2015 Conference will build on the success of the previous conferences, which were held in Astana, Baku, Tashkent and Tbilisi. - See more at: http://aict.info/2015/#sthash.NfiISWrf.dpuf

Добавлено: 17 февраля 2016
Глава
Vishnyakova V. In bk.: The 24th International Conference on Korean Language Education: New Direction in Assessment & Testing of Korean as a Second/Foreing Language. Seul: 2014. P. 443-451.

This articles deals with the problems of assessment for Korean Language students at HSE.The author made an effort to show new Korean language assessment criteria for grammar, speaking, reading and writing skills.

Добавлено: 17 марта 2015
Глава
Maria Yudkevich. In bk.: Encyclopedia of International Higher Education Systems and Institutions. Dordrecht: Springer, 2018. P. 1-3.
Добавлено: 31 октября 2017
Глава
Lanin Viacheslav, Philipson Sofia В кн.: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Т. 2: KEOD. 2017. С. 189-194.

As any other genre, academic paper can be characterized by its own specific rules and features. The authors assume that academic style fitches called in this research “style markers” can be modelled by means of ontology engineering. The article is aimed at describing the academic style markers ontology design and its practical using. The designed ontology is divided into two levels. The first level provides information about linguistic terms and the second level consists of style markers, which were suggested by experts in linguistic. It is assumed that two tasks will be solved on the basis of developed ontology. The first task is generating lexical-semantic templates, which is used to identify the list of markers in a text. Due to ontology approach and Domain Specific Language (DSL) technologies applying users can be able to extend and modify marker templates. The second task is developing an expert system rules for text style enhancement.

Добавлено: 22 ноября 2017
Глава
Shchemeleva I., Smirnova N. V. In bk.: University Writing in Central and Eastern Europe: Tradition, Transition, and Innovation. Vol. 28. Springer Publishing Company, 2018. Ch. 5. P. 75-88.
Добавлено: 28 ноября 2017
Глава
Korukhova Y., Fastovets N. In bk.: Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD - 2010). SciTePress, 2010.
Добавлено: 15 ноября 2014
Глава
Radchenko I., Karmanovskiy N., Mouromtsev D. et al. In bk.: Digital Transformation and Global Society. First International Conference, DTGS 2016, St. Petersburg, Russia, June 22-24, 2016, Revised Selected Papers. Springer, Cham, 2016. P. 400-403.
Добавлено: 29 сентября 2018
Глава
Bershadskaya M., Карпенко О. In bk.: How do educational systems shape educational inequalities?. University of Luxembourg, 2014. P. 15-15.

Доступность высшего образования: социальные и экономические аспекты

Добавлено: 21 июля 2015