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Nadezhda S. Lagutina
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2020 – today
- 2023
- [j6]Daniil D. Zafievsky, Nadezhda S. Lagutina, Oksana A. Melnikova, Anatoliy Y. Poletaev:
Text Model for the Automatic Scoring of Business Letter Writing. Autom. Control. Comput. Sci. 57(7): 828-840 (2023) - [c15]Maksim A. Kosterin, Ilya V. Paramonov, Nadezhda S. Lagutina:
Automatic Irony and Sarcasm Detection in Russian Sentences: Baseline Methods. FRUCT 2023: 148-154 - 2022
- [j5]Ksenia V. Lagutina, Nadezhda S. Lagutina, Elena I. Boychuk:
Text Classification by Genres Based on Rhythmic Characteristics. Autom. Control. Comput. Sci. 56(7): 735-743 (2022) - [j4]Alla M. Manakhova, Nadezhda S. Lagutina:
Analysis of the Influence of Mixed-Level Stylometric Characteristics on the Verification of Authors of Literary Works. Autom. Control. Comput. Sci. 56(7): 744-761 (2022) - 2021
- [c14]Ksenia V. Lagutina, Nadezhda S. Lagutina:
A Survey of Models for Constructing Text Features to Classify Texts in Natural Language. FRUCT 2021: 222-233 - [c13]Ksenia V. Lagutina, Nadezhda S. Lagutina, Elena I. Boychuk, Vladislav Larionov, Ilya V. Paramonov:
Authorship Verification of Literary Texts with Rhythm Features. FRUCT 2021: 240-251 - 2020
- [j3]Nadezhda S. Lagutina, Ksenia V. Lagutina, Elena I. Boychuk, Inna A. Vorontsova, Ilya V. Paramonov:
Automated Rhythmic Device Search in Literary Texts Applied to Comparing Original and Translated Texts as Exemplified by English to Russian Translations. Autom. Control. Comput. Sci. 54(7): 697-711 (2020) - [c12]Ksenia V. Lagutina, Nadezhda S. Lagutina, Elena I. Boychuk, Ilya V. Paramonov:
The Influence of Different Stylometric Features on the Classification of Prose by Centuries. FRUCT 2020: 108-115 - [c11]Ksenia V. Lagutina, Anatoliy Y. Poletaev, Nadezhda S. Lagutina, Elena I. Boychuk, Ilya V. Paramonov:
Automatic Extraction of Rhythm Figures and Analysis of Their Dynamics in Prose of 19th-21st Centuries. FRUCT 2020: 247-255
2010 – 2019
- 2019
- [j2]Nadezhda S. Lagutina, Ksenia V. Lagutina, A. S. Adrianov, Ilya V. Paramonov:
Russian-Language Thesauri: Automatic Construction and Application for Natural Language Processing Tasks. Autom. Control. Comput. Sci. 53(7): 705-718 (2019) - [j1]Nadezhda S. Lagutina, Ksenia V. Lagutina, Ivan Shchitov, Ilya V. Paramonov:
Analysis of Influence of Different Relations Types on the Quality of Thesaurus Application to Text Classification Problems. Autom. Control. Comput. Sci. 53(7): 830-838 (2019) - [c10]Ksenia V. Lagutina, Nadezhda S. Lagutina, Elena I. Boychuk, Inna A. Vorontsova, Elena Shliakhtina, Olga Belyaeva, Ilya V. Paramonov, P. G. Demidov:
A Survey on Stylometric Text Features. FRUCT 2019: 184-195 - [c9]Ksenia V. Lagutina, Vladislav Larionov, Vladislav Petryakov, Nadezhda S. Lagutina, Ilya V. Paramonov, Ivan Shchitov:
Sentiment Classification into Three Classes Applying Multinomial Bayes Algorithm, N-Grams, and Thesaurus. FRUCT 2019: 214-219 - 2018
- [c8]Nadezhda S. Lagutina, Yuliya Tsofina, Ilya V. Paramonov, Ksenia V. Lagutina, Natalia Kasatkina:
Automated Analysis of Micro-contexts of Word for Construction of Its Lexicographic Description. AIST (Supplement) 2018: 54-65 - [c7]Ksenia V. Lagutina, Vladislav Larionov, Vladislav Petryakov, Nadezhda S. Lagutina, Ilya V. Paramonov:
Sentiment Classification of Russian Texts Using Automatically Generated Thesaurus. FRUCT 2018: 217-222 - 2017
- [c6]Ksenia V. Lagutina, Ivan Shchitov, Nadezhda S. Lagutina, Ilya V. Paramonov:
Applicability of Automatically Generated Thesauri to Text Classification in Specific Domains. AIST (Supplement) 2017: 91-98 - [c5]Ivan Shchitov, Ksenia V. Lagutina, Nadezhda S. Lagutina, Ilya V. Paramonov:
Sentiment classification of long newspaper articles based on automatically generated thesaurus with various semantic relationships. FRUCT 2017: 290-295 - [c4]Ivan Shchitov, Ksenia V. Lagutina, Nadezhda S. Lagutina, Ilya V. Paramonov, Andrey Vasilyev:
A survey on thesauri application in automatic natural language processing. FRUCT 2017: 296-303 - 2016
- [c3]Ksenia V. Lagutina, Eldar Mamedov, Nadezhda S. Lagutina, Ilya V. Paramonov, Ivan Shchitov:
Analysis of relation extraction methods for automatic generation of specialized thesauri: Prospect of hybrid methods. FRUCT 2016: 138-144 - [c2]Ilya V. Paramonov, Ksenia V. Lagutina, Eldar Mamedov, Nadezhda S. Lagutina:
Thesaurus-Based Method of Increasing Text-via-Keyphrase Graph Connectivity During Keyphrase Extraction for e-Tourism Applications. KESW 2016: 129-141 - 2015
- [c1]Nadezhda S. Lagutina, Ilya V. Paramonov, Inna A. Vorontsova, Natalia Kasatkina:
An approach to automated thesaurus construction using clusterization-based dictionary analysis. FRUCT 2015: 104-109
Coauthor Index
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