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Lukashevich, Natal'ya Valentinovna

Statistics Math-Net.Ru
Total publications: 17
Scientific articles: 17

Number of views:
This page:1221
Abstract pages:4547
Full texts:2215
References:410
Senior Researcher
Candidate of physico-mathematical sciences
E-mail: ;

https://www.mathnet.ru/eng/person48385
List of publications on Google Scholar
List of publications on ZentralBlatt

Publications in Math-Net.Ru Citations
2023
1. A. Rogov, N. Lukashevich, “Automatic evaluation of interpretability methods in text categorization”, Zap. Nauchn. Sem. POMI, 530 (2023),  68–79  mathnet
2022
2. D. Yu. Turdakov, A. I. Avetisyan, K. V. Arkhipenko, A. V. Antsiferova, D. S. Vatolin, S. S. Volkov, A. V. Gasnikov, D. A. Devyatkin, M. D. Drobyshevskiy, A. P. Kovalenko, M. I. Krivonosov, N. V. Lukashevich, V. A. Malykh, S. I. Nikolenko, I. V. Oseledets, A. I. Perminov, I. V. Sochenkov, M. M. Tihomirov, A. N. Fedotov, M. Yu. Khachay, “Trusted artificial intelligence: challenges and promising solutions”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022),  13–18  mathnet  elib; Dokl. Math., 106:suppl. 1 (2022), S9–S13 1
3. I. E. Kalabikhina, N. V. Lukashevich, E. P. Banin, K. V. Alibaeva, “Automated analysis of family values of vkontakte users”, Intelligent systems. Theory and applications, 26:1 (2022),  190–195  mathnet
4. N. V. Lukashevich, “Automatic sentiment analysis of texts: problems and methods”, Intelligent systems. Theory and applications, 26:1 (2022),  50–61  mathnet
2021
5. I. V. Denisov, I. S. Rozhkov, N. V. Lukashevich, “NEREL: A Russian dataset with nested named entities and relations”, Intelligent systems. Theory and applications, 25:4 (2021),  243–249  mathnet
6. I. E. Kalabikhina, N. V. Lukashevich, E. P. Banin, K. V. Alibaeva, S. M. Rebrey, “Automatic extraction of social network users' attitudes on reproductive behavior issues”, Program Systems: Theory and Applications, 12:4 (2021),  33–63  mathnet 2
7. A. S. Bolshina, N. V. Lukashevich, “Weakly supervised word sense disambiguation using automatically labelled collections”, Proceedings of ISP RAS, 33:6 (2021),  193–204  mathnet
2017
8. N. L. Rusnachenko, N. V. Lukashevich, “Methods of lexicon integration with machine learning for sentiment analysis system”, Artificial Intelligence and Decision Making, 2017, no. 2,  78–89  mathnet  elib
2015
9. N. V. Loukachevitch, I. I. Chetviorkin, “Combining corpus and thesaurus information for extracting sentiment words”, Sistemy i Sredstva Inform., 25:1 (2015),  20–33  mathnet  elib 2
10. M. A. Nokel, N. V. Lukashevich, “Topic models: adding bigrams and taking account of the similarity between unigrams and bigrams”, Num. Meth. Prog., 16:2 (2015),  215–234  mathnet 1
2014
11. N. V. Lukashevich, I. I. Chetviorkin, “Open evaluating sentiment analysis systems in Russian”, Artificial Intelligence and Decision Making, 2014, no. 1,  25–33  mathnet  elib; Scientific and Technical Information Processing, 41:6 (2014), 370–376 3
2013
12. N. V. Loukachevitch, I. I. Chetviorkin, “Construction of a Model for the Cross-Domain Opinion Word Extraction”, Model. Anal. Inform. Sist., 20:2 (2013),  70–79  mathnet
2011
13. A. A. Alekseev, N. V. Lukashevich, “News cluster structure as a basis of automatic entity detection”, Artificial Intelligence and Decision Making, 2011, no. 4,  51–59  mathnet  elib
14. N. V. Lukashevich, I. I. Chetviorkin, “Extraction and use of opinion words for the three-way review classification problem”, Num. Meth. Prog., 12:4 (2011),  73–81  mathnet
2010
15. N. V. Lukashevich, Yu. M. Logachev, “Automatic term extraction based on feature combination”, Num. Meth. Prog., 11:4 (2010),  108–116  mathnet 2
2008
16. M. S. Ageev, B. V. Dobrov, N. V. Loukachevitch, “Automatic Text Categorization: Methods and Problems”, Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 150:4 (2008),  25–40  mathnet 6
2007
17. B. V. Dobroff, N. V. Loukachevitch, “Linguistic ontology on natural sciences and technologies for information-retrieval applications”, Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 149:2 (2007),  49–72  mathnet 4

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