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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Тематические модели: учет сходства между униграммами и биграммами

С. 243–252.
М.А. Нокель
Language: Russian
Text on another site
Keywords: Topic Modelsтематические моделиPLSA algorithmunigrambigramалгоритм PLSAуниграммабиграмма

In book

Selected Papers of XVI All-Russian Scientific Conference "Digital libraries: Advanced Methods and Technologies, Digital Collections"
Т. 1297. , Дубна: CEUR Workshop Proceedings, 2014.
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Healthcare services are tightly connected with complex data analysis techniques to enable optimal resource allocation in medical institutions. This paper proposes a detailed analysis of incoming patient flow to local polyclinic by integrating clustering techniques, process mining and a concept of self-organizing systems. The study takes into account concepts based on models of managing social ...
Added: August 31, 2020
A Method of Accounting Bigrams in Topic Models
Nokel M., Loukachevitch N. V., , in: NAACL HLT 2015 11th Workshop on Multiword Expressions MWE 2014.: NY: Association for Computational Linguistics, 2015. P. 1–9.
The paper describes the results of an empirical study of integrating bigram collocations and similarities between them and unigrams into topic models. First of all, we propose a novel algorithm PLSA-SIM that is a modification of the original algorithm PLSA. It incorporates bigrams and maintains relationships between unigrams and bigrams based on their component structure. ...
Added: March 16, 2016
Topic Models: Accounting Component Structure of Bigrams
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The paper describes the results of an empirical study of integrating bigram collocations and similarities between them and unigrams into topic models. First of all, we propose a novel algorithm PLSASIM that is a modification of the original algorithm PLSA. It incorporates bigrams and maintains relationships between unigrams and bigrams based on their component structure. ...
Added: March 16, 2016
Тематические модели: добавление биграмм и учет сходства между униграммами и биграммами
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The results of experimental study of adding bigrams and taking account of the similarity between them and unigrams are discussed. A novel PLSA-SIM algorithm based on a modification of the original PLSA (Probabilistic Latent Semantic Analysis) algorithm is proposed. The proposed algorithm incorporates bigrams and takes into account the similarity between them and unigram components. ...
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Метод учёта структуры биграмм в тематических моделях
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The paper presents the results of experimental study of integrating word similarity and bigram collocations into topic models. First of all, we analyze a variety of word association measures in order to integrate top-ranked bigrams into topic models. Then we propose a modification of the original algorithm PLSA, which takes into account similar unigrams and ...
Added: March 15, 2016
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We propose a new method of feature extraction for regression problems with text data that transforms the sparse texts to dense features using regularized topic models. We also discuss the problem of topic model initialization, and propose a new approach based on Naive Bayes. This approach is compared to many others, and it achieves a ...
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Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications
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The main objective of the workshop is to bring together researchers who are interested in applications of topic models and improving their output. Our goal is to create a broad platform for researchers to share ideas that could improve the usability and interpretation of topic models. We hope this workshop will promote topic model applications ...
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Probabilistic topic modeling of text collections is a powerful tool for statistical text analysis. In this tutorial we introduce a novel non-Bayesian approach, called Additive Regularization of Topic Models. ARTM is free of redundant probabilistic assumptions and provides a simple inference for many combined and multi-objective topic models. ...
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Назрела необходимость разработки новых принципов построения тематических моделей, свободных от избыточных вероятностных допущений. Предлагаемая теория аддитивной регуляризации тематических моделей (АРТМ) решает эти проблемы. ...
Added: December 5, 2014
Использование лингвистической информации в тематической модели PLSA
Nokel M., В кн.: Сборник материалов XXI международной конференции студентов, аспирантов и молодых ученых "Ломоносов-2014".: М.: Издательство МГУ, 2014. С. 120–121.
В данной работе предложен метод предобработки коллекции текстов на русском языке, улучшающий качество работы тематических моделей ...
Added: October 1, 2014
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The paper describes the results of an experimental study of statistical topic models applied to the task of automatic single-word term extraction. The English part of the Europarl parallel corpus from the socio-political domain and the Russian articles taken from online banking magazines were used as target text collections. The experiments demonstrate that topic information ...
Added: October 1, 2014
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В статье представлены результаты экспериментов по применению тематических моделей к задаче извлечения однословных терминов. В качестве текстовых коллекций была взята подборка статей из электронных банковских журналов на русском языке и англоязычная часть корпуса параллельных текстов Europal. Эксперименты показывают, что использование тематической информации значительно улучшает качество извлечения однословных терминов независимо от предметной области и используемого языка. ...
Added: October 1, 2014
Topic Models Can Improve Domain Term Extraction
Elena Bolshakova, Natalia Loukachevitch, Nokel M., , in: Proc. 35th European Conference on Information Retrieval (ECIR 2013): Advances in Information RetrievalVol. 7814.: Springer, 2013. P. 684–687.
Abstract. The paper describes the results of an experimental study of topic models applied to the task of single-word term extraction. The experiments encompass several probabilistic and non-probabilistic topic models and demonstrate that topic information improves the quality of term extraction, as well as NMF with KL-divergence minimization is the best among the models under study. ...
Added: October 1, 2014
Breeds of cooccurrence: an attempt at classification
Roytberg M.A., Roytberg A.M., Khachko D. V., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая - 2 июня 2013 г.). В 2-х т.Т. 1: Основная программа конференции. Вып. 12 (19).: М.: РГГУ, 2013. P. 568–578.
The paper proposes a substantial classification of collocates (pairs of words that tend to cooccur) along with heuristics that can help to attibute a word pair to a proper type automatically. The best studied type is frequent phrases, which includes idioms, lexicographic collocations, and syntactic selection. Pairs of this type are known to occur at a ...
Added: May 6, 2014
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