Book
Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах
Т. 2: Доклады специальных секций. Вып. 11. М.: Российский государственный гуманитарный университет, 2012.
Editor-in-chief:
А. Е. Кибрик
Chapters
Васильев В. Г., Худякова М. В., Давыдов С. В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах. Т. 2: Доклады специальных секций. Вып. 11. М.: Российский государственный гуманитарный университет, 2012. С. 66-78.
Added: Nov 22, 2012
Толдова С. Ю., Соколова Е. Г., Астафьева И. и др. В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах. Т. 2: Доклады специальных секций. Вып. 11. М.: Российский государственный гуманитарный университет, 2012. С. 77-90.
Added: Dec 10, 2012
Nokel M.A., Bolshakova E.I., Loukachevitch N.V. In bk.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах. Vol. 2: Доклады специальных секций. Iss. 11. M.: Russian State University for the Humanitie, 2012.
The paper describes experiments on automatic single-word term extraction based on combining various features of words, mainly linguistic and statistical, by machine learning methods. Since single-word terms are much more difficult to recognize than multi-word terms, a broad range of word features was taken into account, among them are widely-known measures (such as TF-IDF), some novel features, as well as proposed modifications of features usually applied for multi-word term extraction. A large target collection of Russian texts in the domain of banking was taken for experiments. Average Precision was chosen to evaluate the results of term extraction, along with the manually created thesaurus of terminology on banking activity that was used to approve extracted terms. The experiments showed that the use of multiple features significantly improves the results of automatic extraction of domain-specific terms. It was proved that logistic regression is the best machine learning method for single- word term extraction; the subset of word features significant for term extraction was also revealed.
Added: Oct 1, 2014
Similar publications
Edited by: А. Е. Кибрик Т. 1: Основная программа конференции. Вып. 11. М.: Российский государственный гуманитарный университет, 2012.
Added: Jul 23, 2012
Шаров А. Г. МегаВерсия, 2007
Added: Sep 21, 2012
Иомдин Б. Л., Лопухина А. А., Пиперски А. Ч. и др. В кн.: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 30 мая–3 июня 2012 г.). В 2 томах. Т. 1: Основная программа конференции. Вып. 11. М.: Российский государственный гуманитарный университет, 2012. С. 213-226.
Added: Jul 23, 2012
Савченко А. В. Системы управления и информационные технологии. 2009. Т. 35. № 1. С. 83-91.
Added: Jun 9, 2012
This study investigates the topical structure of the Russian-language blog-publishing service LiveJournal and the change in it that occurred in the course of the public activity after the State Duma elections in December 2011 as compared to a previous “control” period (November 27 – December 27 and August 15 – September 15 respectively). The data for both periods have been automatically obtained from 2000 top-rated blogs on the basis of ratings published by LiveJournal. Unsupervised topic modelling of the sampled posts was done using Latent Dirichlet Allocation algorithm. In December 2011 we found considerable growth in weights of all the topics closely associated with the discussion of voting results and protests, accompanied by a more moderate decrease in the majority of other social topics.The number of users who started posting texts that may be conventionally qualified as political according to LDA in December 2011, considerably outnumbers the number of those who ceased posting political items, which may indicate the existence of a blogger mobilization process in political topics.
Added: Feb 1, 2013
Логачева В. К., Клышинский Э. С., Галактионов В. А. ИПМ им. М.В. Келдыша РАН. ::. ИПМ им. М.В. Келдыша РАН, 2012. № 14.
Added: Nov 14, 2012
Edited by: Т. Н. Синеокова Вып. 3. Н. Новгород: Нижегородский государственный лингвистический университет им. Н.А. Добролюбова, 2008.
Added: Jul 6, 2012
Цветкова М. В. В кн.: Концепты хаоса и порядка в естественных и гуманитарных науках. Н. Новгород: Деком, 2011. С. 267-273.
Added: Mar 8, 2013
Пасько Ю. В. Вестник Московского государственного областного университета. Серия: Лингвистика. 2011. № 1. С. 179-183.
Added: Jul 18, 2012
Пасько Ю. В. Вестник Московского государственного областного университета. Серия: Лингвистика. 2012. № 2. С. 111-118.
In the article the elements of the epic theatre (a theory by German playwright B. Brecht) in the novel by E. Jelinek “The Piano Teacher” are analyzed. The author studies two aspects of this question: the figure of the narrator in the text and the phenomenon of materialization as realizing of alienation effect – one of the most important elements of the epic theatre. The research is based on comparative analysis of lexical, syntactical and stylistic peculiarities in Brecht’s plays and in the Austrian writer’s novel. The result of this research is the conclusion that the text of the novel has some features of B. Brecht’s play and the novel by E. Jelinek is an example of “dramatization” of a prosaic text.
Added: May 4, 2012
Чеповский А. М. В кн.: Перспективы систем информатики. Седьмая Международная конференция памяти академика А.П.Ершова. Секция «Информатика образования». Новосибирск: ООО "Сибирское научное издательство", 2009. С. 136-138.
Added: Jan 27, 2014
Added: Apr 26, 2012
Prakhov I., Yudkevich M. M. Education. EDU. Высшая школа экономики, 2012. No. 04.
This paper examines the impact of family income on the results of the Unified State Examination (the
USE) and university choice in Russia. We argue that, even under the USE, which was introduced
instead of high school exit exams and university-specific entrance exams, entrants from wealthy
households still have an advantage in terms of access to higher education, since income positively
affects USE scores through the channel of a higher level of investment in pre-entry coaching.
Moreover, richer households make more effective decisions about university. We have found positive
and significant relationships between the level of income and USE results for high school graduates,
with an equal achievement before coaching. We subsequently propose that students from the most
affluent households do invest more in additional types of preparation (pre-entry courses and individual
lessons with tutors), and those extra classes provide a higher return for children from this particular
income group. Finally, we show that holding the result of the USE equal, students with good and fair
marks from wealthy families are admitted to universities with higher average USE score than those
from poorer families. As a result, we can observe that income status is a factor that significantly
influences enrollment to university.
Added: Aug 28, 2012
Edited by: М. А. Пильгун Вып. 10. М.: АПК и ППРО, 2012.
Added: Apr 26, 2012
Students' internet usage attracts the attention of many researchers in different countries. Differences in internet penetration in diverse countries lead us to ask about the interaction of medium and culture in this process. In this paper we present an analysis based on a sample of 825 students from 18 Russian universities and discuss findings on particularities of students' ICT usage. On the background of the findings of the study, based on data collected in 2008-2009 year during a project "A сross-cultural study of the new learning culture formation in Germany and Russia", we discuss the problem of plagiarism in Russia, the availability of ICT features in Russian universities and an evaluation of the attractiveness of different categories of ICT usage and gender specifics in the use of ICT.
Added: May 16, 2012
Edited by: М. А. Пильгун Вып. 12. М.: АПК и ППРО, 2012.
Added: Apr 26, 2012
Nye J. V., Androushchak G., Desierto D. et al. Education. EDU. Высшая школа экономики, 2011. No. 01.
Exposure to prenatal androgens affects both future behavior and life choices. However, there is still relatively limited evidence on its effects on academic performance. Moreover, the predicted effect of exposure to prenatal testosterone (T) - which is inversely correlated with the relative length of the second to fourth finger lengths (2D:4D) - would seem to have ambiguous effects on academic achievement since traits like confidence, aggressiveness, or risk-taking are not uniformly positive for success in school. We provide the first evidence of a non-linear relationship between 2D:4D and academic achievement using samples from Moscow and Manila. We find that there is a quadratic relationship between high T exposure and markers of achievement such as grades or test scores and that the optimum digit ratio for women in our sample is lower (indicating higher prenatal T) than the average. The results for men are generally insignificant for Moscow but significant for Manila showing similar non-linear effects. Our work is thus unusual in that it draws from a large sample of nearly a thousand university students in Moscow and over a hundred from Manila for whom we also have extensive information on high school test scores, family background and other potential correlates of achievement. Our work is also the first to have a large cross country comparison that includes two groups with very different ethnic compositions.
Added: Aug 28, 2012
Черных А. И. Политическая теория и политический анализ. WP14. Высшая школа экономики, 2012. № 03.
Added: May 3, 2012
Татарко А. Н. Психология образования в поликультурном пространстве. 2012. Т. 17. № 1. С. 47-55.
Added: Sep 12, 2012
Ч. 1. М.: Энергоатомиздат, 2011.
Added: Feb 7, 2013
Schang F. Key Terms in Logic. ISBN-10: 1847061141. Bloomsberry Academic, 2010
A definition of three logical concepts: "biconditional", "contingent", and "sentence".
Added: Nov 4, 2014
Valletta: ELRA, 2010.
Added: Dec 17, 2012
Скиперских А. В. Свободная мысль. 2005. № 8. С. 119-203.
Added: Oct 28, 2014
Черных А. И. Политическая теория и политический анализ. WP14. Высшая школа экономики, 2012. № 04.
Added: May 11, 2012
Тулякова И. И., Бочкарева Н. С. Мировая литература в контексте культуры. 2008. № 3(1). С. 150-154.
Added: Dec 11, 2014