| Extracting sentiment attitudes from analytical texts N Loukachevitch, N Rusnachenko arXiv preprint arXiv:1808.08932, 2018 | 28 | 2018 |
| Distant supervision for sentiment attitude extraction N Rusnachenko, N Loukachevitch, E Tutubalina Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 24 | 2019 |
| Search interfaces for biomedical searching: how do gaze, user perception, search behaviour and search performance relate? YH Liu, P Thomas, T Gedeon, N Rusnachenko Proceedings of the 2022 conference on human information interaction and …, 2022 | 12 | 2022 |
| RuSentNE-2023: Evaluating entity-oriented sentiment analysis on Russian news texts A Golubev, N Rusnachenko, N Loukachevitch arXiv preprint arXiv:2305.17679, 2023 | 10 | 2023 |
| Using convolutional neural networks for sentiment attitude extraction from analytical texts N Rusnachenko, N Loukachevitch EPiC Series in Language and Linguistics 4, 1-10, 2019 | 10 | 2019 |
| Sentiment frames for attitude extraction in Russian N Loukachevitch, N Rusnachenko arXiv preprint arXiv:2006.10973, 2020 | 8 | 2020 |
| Neural network approach for extracting aggregated opinions from analytical articles N Rusnachenko, N Loukachevitch Data Analytics and Management in Data Intensive Domains: 20th International …, 2019 | 8 | 2019 |
| Extracting Sentiment Attitudes from Analytical Texts via Piecewise Convolutional Neural Network. N Rusnachenko, NV Loukachevitch DAMDID/RCDL, 186-192, 2018 | 7 | 2018 |
| Методы интеграции лексиконов в машинное обучение для систем анализа тональности НЛ Русначенко, НВ Лукашевич Искусственный интеллект и принятие решений, 78-89, 2017 | 5 | 2017 |
| Large Language Models in Targeted Sentiment Analysis for Russian N Rusnachenko, A Golubev, N Loukachevitch Lobachevskii Journal of Mathematics 45 (7), 3148-3158, 2024 | 4 | 2024 |
| nicolay-r at semeval-2024 task 3: Using flan-t5 for reasoning emotion cause in conversations with chain-of-thought on emotion states N Rusnachenko, H Liang arXiv preprint arXiv:2404.03361, 2024 | 3 | 2024 |
| Language models application in sentiment attitude extraction task NL Rusnachenko Proceedings of the Institute for System Programming of the RAS (Proceedings …, 2021 | 3* | 2021 |
| Studying attention models in sentiment attitude extraction task N Rusnachenko, N Loukachevitch International Conference on Applications of Natural Language to Information …, 2020 | 3 | 2020 |
| Sentiment Attitudes and Their Extraction from Analytical Texts N Rusnachenko, N Loukachevitch International Conference on Text, Speech, and Dialogue, 41-49, 2018 | 3 | 2018 |
| NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation J Zhao, Y Wang, H Liang, N Rusnachenko Proceedings of the 18th International Workshop on Semantic Evaluation …, 2024 | 2 | 2024 |
| Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant Supervision N Rusnachenko, N Loukachevitch Proceedings of the 10th International Conference on Web Intelligence, Mining …, 2020 | 2 | 2020 |
| Автоматическое извлечение имплицитных оценок из текстов НВ Лукашевич, ВА Карнаухова, НЛ Русначенко ТРУДЫ МЕЖДУНАРОДНОЙ КОНФЕРЕНЦИИ ПО КОМПЬЮТЕРНОЙ И КОГНИТИВНОЙ ЛИНГВИСТИКЕ …, 2018 | 2 | 2018 |
| Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM’s Prediction with Role-play Augmentation and Contrastive Reasoning Calibration T Li, N Rusnachenko, H Liang Proceedings of the 14th Workshop on Computational Approaches to Subjectivity …, 2024 | 1 | 2024 |
| Dialogue Agents with Literary Character Personality Traits J Zhao, H Liang, N Rusnachenko 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent …, 2023 | 1 | 2023 |
| Legal_try at semeval-2023 task 6: Voting heterogeneous models for entities identification in legal documents J Zhao, Y Wang, N Rusnachenko, H Liang Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 1 | 2023 |
Наталья Лукашевич, Natalia Loukach...Leading Researcher of Lomonosov Moscow State Universitymail.cir.ru의 이메일 확인됨