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Информационные модели в задачах обработки текстов на естественных языках. Второе издание, переработанное
M. :
-, 2015.
Priority areas:
IT and mathematics
Language:
Russian
Polyakov I. V., Соколова Т. В., Chepovskiy A. et al., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2015 Т. 13 № 2 С. 55-63
This paper presents a text classification method based on mutual information method. It was shown that word stems are universal features for text classification problem ...
Added: October 24, 2015
Klyshinskiy E., Жеребцова Ю., Чижик А., Системный администратор 2019 № 10 С. 82-91
Nowadays, a field of dialogue systems and conversational agents is one of the rapidly growing research areas in artificial intelligence applications. Business and industry are showing increasing interest in implementing intelligent conversational agents into their products. Many recent studies has tended to focus on possibility of developing task-oriented systems which are able to have long ...
Added: October 26, 2019
Болховитянов А. В., Chepovskiy A., М. : МГУП им. Ивана Федорова, 2013
Рассматриваются методики морфологического анализа в задачах автоматической обработки текстов на естественном языке. Рассматривается обобщенная схема алгоритмов аналитического выделения основ. Подробно описаны алгоритмы аналитического выделения основ для большинства индоевропейских языков.
Пособие предназначено для студентов, изучающих курсы «Обработка текстовой информации», «Компьютерная лингвистика», «Поисковые системы», «Математические основы компьютерной лингвистики», «Вычислительная математика и прикладная статистика в издательском деле», «Математические и ...
Added: October 29, 2013
Egorova E., Лаврентьев А. М., Chepovskiy A., Фундаментальная и прикладная математика 2014 Т. 19 № 3 С. 91-109
В работе предлагается метод структурных схем в качестве модели морфологического анализа словоформ естественного языка с развитым аффиксальным словообразованием и словоизменением. Дано описание алгоритма выделения псевдоосновы, его модификация, а также алгоритм восстановления грамматических характеристик словоформ. Описано применение предложенного метода для анализа словоформ французского языка. Представлены результаты работы предложенных алгоритмов. ...
Added: February 22, 2015
Болховитянов А. В., Gusev S., Chepovskiy A., Информационные технологии 2011 № 12 С. 37-39
This paper proposes the model that is used to describe relations between verb and set expressions during analysis of the sentence in the Russian language. It describes the developed knowledge base that is used to describe syntactic units of the Russian language. The model is used to objects identification and knowledge extraction from the text ...
Added: December 10, 2012
Chepovskiy A., М. : Национальный открытый университет «ИНТУИТ», 2015
В учебном пособии представлены методики и алгоритмы автоматического анализа текстов на естественных языках. Рассматривается применение методов компьютерной лингвистики для прикладных исследований в области информационно-поисковых систем. Предназначено для студентов, аспирантов и научных работников, изучающих методы компьютерной лингвистики и обработку текстов в информационных системах.
Рекомендовано в качестве учебного пособия для студентов высших учебных заведений, обучающихся по направлениям подготовки ...
Added: August 21, 2015
Bartunov S., Кондрашкин Д. А., Osokin A. et al., / Arxiv.org. Series arXiv:1502.07257 "Computation and language". 2015.
Recently proposed Skip-gram model is a powerful method for learning high-dimensional word representations that capture rich semantic relationships between words. However, Skip-gram as well as most prior work on learning word representations does not take into account word ambiguity and maintain only single representation per word. Although a number of Skip-gram modifications were proposed to ...
Added: November 5, 2015
М. : Издательский центр «Российский государственный гуманитарный университет», 2019
The book includes 64 papers submitted to the International conference in computer linguistics and intellectual technologies Dialogue 2019 and presents a broad spectrum of theoretical and applied research of natural language description, language simulation, and creation of applied computer technologies. ...
Added: October 16, 2019
Chepovskiy A., М. : Национальный открытый университет «ИНТУИТ», 2014
В монографии рассмотрены различные математические модели для решения практических задач обработки текстов на естественных языках. Предлагаются решения проблем, возникающих при организации индексации и последующего поиска данных. Методы компьютерной лингвистики применяются для прикладных исследований.
Предназначена для разработчиков информационных систем, специалистов в области компьютерной лингвистики. ...
Added: December 17, 2014
Berlin : Springer, 2018
This book constitutes the proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts, AIST 2018, held in Moscow, Russia, in July 2018.
The 29 full papers were carefully reviewed and selected from 107 submissions (of which 26 papers were rejected without being reviewed). The papers are organized in topical sections on ...
Added: September 5, 2018
Skorinkin D.A., Budnikov E. A., Stepanova M. E. et al., Компьютерная лингвистика и интеллектуальные технологии 2016 No. 15 P. 721-733
This paper presents a rule-based approach to Information Extraction (IE) task within FactRuEval-2016 competition. Our system is based on ABBYY Compreno Technology. The technology uses the results of deep syntactic-semantic analysis, which leads to significant reduction of the number of necessary rules and makes them laconic. The evaluation was conducted on FactRuEval dataset. FactRuEval is ...
Added: August 28, 2016
Polyakov I. V., Соловьев Ф. Н., Chepovskiy A. et al., М. : Национальный открытый университет «ИНТУИТ», 2017
В учебном пособии представлены методики и алгоритмы автоматического распознавания языков и классификации текстов на естественных языках. Предназначено для изучающих методы распознавания образов и обработку текстов на естественных языках. ...
Added: May 17, 2017
Mumbai : The COLING 2012 Organizing Committee, 2012
Added: April 17, 2013
Association for Computational Linguistics, 2019
The 4th Workshop on Representation Learning for NLP (RepL4NLP) will be hosted by ACL 2019 and held on 2 August 2019. The workshop is being organised by Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Alexis Conneau, Johannes Welbl, Xian Ren and Marek Rei; and advised by Kyunghyun Cho, Edward Grefenstette, Karl Moritz ...
Added: November 1, 2019
Денис Турдаков, Астраханцев Н. А., Недумов Я. Р. et al., Труды Института системного программирования РАН 2014 Т. 26 С. 421-438
he paper presents a framework for fast text analytics developed during the Texterra project. Texterra is a technology for multilingual text mining based on novel text processing methods that exploit knowledge extracted from user-generated content. It delivers a fast scalable solution for text mining without the expensive customization. Depending on use-cases Texterra could be utilized ...
Added: November 6, 2017
Cham : Springer, 2020
This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented.
The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ...
Added: July 7, 2020
Рысаков С. В., Системный администратор 2015 № 10(155) С. 92-95
The article provides a review of modern methods of morphological ambiguity resolution. We considered such methods as statistical disambiguation, Brill’s automatically generated rules, decision trees and their modifications. For the comparison, the article provides numerical results obtained on two open corpora: OpenCorpora and SynTagRus. ...
Added: November 25, 2015
Smetanin S., IEEE Access 2020 Vol. 8 P. 110693-110719
Sentiment analysis has become a powerful tool in processing and analysing expressed opinions on a large scale. While the application of sentiment analysis on English-language content has been widely examined, the applications on the Russian language remains not as well-studied. In this survey, we comprehensively reviewed the applications of sentiment analysis of Russian-language content and ...
Added: June 24, 2020
Springer, 2020
Added: September 8, 2020
Chepovskiy A., Gusev S., Болховитянов А. В., М. : МГУП им. Ивана Федорова, 2010
Рассматриваются методы и средства морфологического анализа в задачах автоматической обработки текстов на естественном языке. Подробно описаны алгоритмы автоматического выделения основ для ряда естественных языков. Рассматривается модель словарной морфологии естественного языка и ее реализация для русского и английского языков.
Пособие предназначено для студентов изучающих курсы «Обработка текстовой информации», «Алгоритмы и методы компьютерной лингвистики», «Поисковые системы» и для ...
Added: February 1, 2013
Berlin : Association for Computational Linguistics, 2016
The 2016 Conference on Computational Natural Language Learning is the twentieth in the series of annual meetings organized by SIGNLL, the ACL special interest group on natural language learning. CoNLL 2016 will be held on August 11-12, 2016, and is co-located with the 54th annual meeting of the Association for Computational Linguistics (ACL) in Berlin, ...
Added: November 12, 2016
Switzerland : Springer, 2019
This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Processing, IDP 2016, held in Barcelona, Spain, in October 2016.
The 11 revised full papers were carefully reviewed and selected from 52 submissions. The papers of this volume are organized in topical sections on machine learning theory with applications; intelligent data processing in life ...
Added: February 8, 2020
M. : Russian State University for the Humanitie, 2019
The book includes 64 papers submitted to the International conference in computer linguistics and intellectual technologies Dialogue 2019 and presents a broad spectrum of theoretical and applied research of natural language description, language simulation, and creation of applied computer technologies. ...
Added: October 16, 2019
Bliznets Ivan, Cygan M., Komosa P. et al., ACM Transactions on Computation Theory 2018 Vol. 10 No. 2 P. 1-32
The H-free Edge Deletion problem asks, for a given graph G and integer k, whether it is possible to delete at most k edges from G to make it H-free—that is, not containing H as an induced subgraph. The H-free Edge Completion problem is defined similarly, but we add edges instead of deleting them. The study of these two problem families has recently been the subject of intensive studies from the point of ...
Added: October 30, 2018