Journals
Books
Articles by keyword Обработка естественного языка
Structurally functional organization of information-analytical systems of the authorities in the russian federation subjects
A.L. Butov, A.T. Mirgaleev
Algorithm of operation of information-analytical systems
A.L. Butov, A.T. Mirgaleev, N.A. Nikutina, V.G. Dovbnya
Method of fact extraction from information which represented by natural language
A.L. Butov, A.T. Mirgaleev
Subsystem of data processing and knowledge of the authorities in the Russian Federation subjects
A.L. Butov, A.T. Mirgaleev, V.V. Teplova, S.U. Chelyshov
Data and knowledge models of information-analytical systems of the authorities in the Russian Federation subjects
A.L. Butov, A.T. Mirgaleev, E.M. Maltsev
Application of parsing tree for increasing the frequency text analysis - result relevance
A.A. Melikhov - Assistant, Department of Intellectual Technologies and Systems (ITS), Moscow Technological University (MIREA). E-mail: megadelphin@mail.ru
Automatic question generation based on texts and knowledge graphs

M.A. Belyanova1, G.I. Revunkov2, G.I. Afanasyev3, Yu.E. Gapanyuk4

1-4 Bauman Moscow State Technical University (Moscow, Russia)

1 belyanovama@student.bsmtu.ru; 2 revunkov@bmstu.ru; 3 gaipcs@bmstu.ru; 4 gapyu@bmstu.ru

System of information extraction from text for metagraph knowledge base

V.I. Terekhov – Ph.D. (Eng.), Associate Professor, 

Bauman Moscow State Technical University (Moscow, Russia)

E-mail: terekchow@bmstu.ru

A.I. Kanev – Post-graduate Student,

Bauman Moscow State Technical University (Moscow, Russia)

E-mail: kanevai@student.bmstu.ru

Machine learning for metagraph knowledge base trained on results of text mining

A. I. Kanev – Post-graduate Student, Bauman Moscow State Technical University (Moscow, Russia) E-mail: kanevai@student.bmstu.ru

Analysis and synthesis of machine learning models for solving the problem of searching for named entities

B.S. Goryachkin1, R.I. Kim2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

1 bsgor@mail.ru, 2 radmir.kim99@yandex.ru

The impact of text preprocessing methods on the efficiency of machine learning models for employee loyalty analysis

G.N. Zholobova1, E.D. Sinitsyna2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 gnzholobova@fa.ru, 2 221766@edu.fa.ru

Analysis of systems of information extraction from unstructured text documents

G.S. Ivanova1, P.A. Martynyuk2
1, 2 Bauman Moscow State Technical University (Moscow, Russia)

1 gsivanova@bmstu.ru, 2 martynyuk.pa@bmstu.ru

Mechanisms of emergence and suppression of factual distortions in autoregressive language models

V.O. Ivanov1
1 Military University of Radioelectronics (Cherepovets, Russia)

1 info@radiotec.ru

Development of a bundled software and machine learning models to automate analysis of news streams in the financial industry

V.S. Gavrilov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 232114@edu.fa.ru

Evaluation of semantic similarity between sentences in Russian using sentence transformers

N.D. Todosiev1, G.I. Afanasyev2, V.B. Timofeev3, Yu.E. Gapanyuk4
1–4 Bauman Moscow State Technical University (Moscow, Russia)

1 todosievnik@gmail.ru, 2 gaipcs@bmstu.ru, 3 vbtimofeev@yandex.ru, 4 gapyu@bmstu.ru