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Leonid Sanochkin
Leonid Sanochkin
MTS AI
Verified email at mts.ai
Title
Cited by
Cited by
Year
Active learning for abstractive text summarization
A Tsvigun, I Lysenko, D Sedashov, I Lazichny, E Damirov, V Karlov, ...
arXiv preprint arXiv:2301.03252, 2023
222023
Towards computationally feasible deep active learning
A Tsvigun, A Shelmanov, G Kuzmin, L Sanochkin, D Larionov, G Gusev, ...
arXiv preprint arXiv:2205.03598, 2022
202022
ALToolbox: a set of tools for active learning annotation of natural language texts
A Tsvigun, L Sanochkin, D Larionov, G Kuzmin, A Vazhentsev, I Lazichny, ...
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
82022
Simple Yet Effective Named Entity Oriented Sentiment Analysis
L Sanochkin, A Bolshina, K Cheloshkina, D Galimzianova, A Malafeev
Proceedings of the International Conference “Dialogue 2023, 2023
22023
Efficient Active Learning with Adapters
D Galimzianova, L Sanochkin
Findings of the Association for Computational Linguistics: EMNLP 2024, 14374 …, 2024
2024
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Articles 1–5