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Mikhail Tikhomirov
Mikhail Tikhomirov
Научный сотрудник, НИВЦ МГУ им. Ломоносова
Verified email at cs.msu.ru
Title
Cited by
Cited by
Year
Using bert and augmentation in named entity recognition for cybersecurity domain
M Tikhomirov, N Loukachevitch, A Sirotina, B Dobrov
Natural Language Processing and Information Systems: 25th International …, 2020
552020
Taxonomy enrichment with text and graph vector representations
I Nikishina, M Tikhomirov, V Logacheva, Y Nazarov, A Panchenko, ...
Semantic Web 13 (3), 441-475, 2022
102022
Combined approach to hypernym detection for thesaurus enrichment
M Tikhomirov, N Loukachevitch, E Parkhomenko
Computational linguistics and intellectual technologies: Papers from the …, 2020
82020
Meta-embeddings in taxonomy enrichment task
M Tikhomirov, N Loukachevitch
Computational Linguistics and Intellectual Technologies: Papers from the …, 2021
42021
Assessing theme adherence in student thesis
M Tikhomirov, N Loukachevitch, B Dobrov
Computational Linguistics and Intellectual Technologies. Papers from the …, 2019
42019
Recognizing named entities in specific domain
MM Tikhomirov, NV Loukachevitch, BV Dobrov
Lobachevskii Journal of Mathematics 41, 1591-1602, 2020
22020
News timeline generation: Accounting for structural aspects and temporal nature of news stream
M Tikhomirov, B Dobrov
Data Analytics and Management in Data Intensive Domains: XIX International …, 2018
22018
Domain-specific Taxonomy Enrichment Based on Meta-Embeddings.
M Tikhomirov, NV Loukachevitch
DAMDID/RCDL (Supplementary Proceedings), 285-298, 2021
12021
Methods for assessing theme adherence in student thesis
M Tikhomirov, N Loukachevitch, B Dobrov
Text, Speech, and Dialogue: 22nd International Conference, TSD 2019 …, 2019
12019
Using news corpora for temporal summary formation
M Tikhomirov, B Dobrov
CEUR Workshop Proceedings, 165-171, 2017
12017
Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models
M Tikhomirov, N Loukachevitch
arXiv preprint arXiv:2401.04515, 2024
2024
Impact of Tokenization on LLaMa Russian Adaptation
M Tikhomirov, D Chernyshev
arXiv preprint arXiv:2312.02598, 2023
2023
Generation of Interpreted Vector Representations of Words Based on Supersenses
MM Tikhomirov, NV Loukachevitch
Pattern Recognition and Image Analysis 33 (3), 517-524, 2023
2023
Method for Generating Interpretable Embeddings Based on Superconcepts
MM Tikhomirov, NV Loukachevitch
Lobachevskii Journal of Mathematics 44 (8), 3169-3177, 2023
2023
Trusted artificial intelligence: challenges and promising solutions
DY Turdakov, AI Avetisyan, KV Arkhipenko, AV Antsiferova, DS Vatolin, ...
Doklady Mathematics 106 (Suppl 1), S9-S13, 2022
2022
Using Embedding-Based Similarities to Improve Lexical Resources
NV Loukachevitch, MM Tikhomirov, EA Parkhomenko
Lobachevskii Journal of Mathematics 42 (7), 1532-1546, 2021
2021
Разработка автоматизированной системы пополнения таксономии на текстах конкретной предметной области
ММ Тихомиров
Интеллектуальные системы. Теория и приложения 25 (4), 250-254, 2021
2021
Pretraining and augmentation in named entity recognition task for cybersecurity domain in Russian
MM Tikhomirov, NV Loukachevitch, AY Sirotina, BV Dobrov
Computational Linguistics and Intellectual Technologies, 724-735, 2020
2020
Автоматическое определение неестественных текстов на различных языках
НВ Лукашевич, ММ Тихомиров
2019
Формирование исторической справки по корпусу новостей с учетом структуры динамики развития новостного сюжета
ММ Тихомиров, БВ Добров
АНАЛИТИКА И УПРАВЛЕНИЕ ДАННЫМИ В ОБЛАСТЯХ С ИНТЕНСИВНЫМ ИСПОЛЬЗОВАНИЕМ …, 2017
2017
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Articles 1–20