Dr Nikolai Rusnachenko
- nrusnachenko at bournemouth dot ac dot uk
- Post-Doctoral Research Fellow CfACTs PLUS (NLP-MMI)
- Weymouth House w108, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Journal Articles
- Rusnachenko, N., Golubev, A. and Loukachevitch, N., 2024. Large Language Models in Targeted Sentiment Analysis for Russian. Lobachevskii Journal of Mathematics, 45 (7), 3148-3158.
Conferences
- Rusnachenko, N. and Liang, H., 2024. nicolay-r at SemEval-2024 Task 3.1: Reasoning Emotion Cause Supported by Emotion State with Chain-of-Thoughts. In: The 18th International Workshop on Semantic Evaluation 16-21 June 2024 Mexico City, Mexico.
- Rusnachenko, N., Liang, H., Kalameyets, M. and Shi, L., 2024. ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14612 LNCS, 229-235.
- Li, T., Rusnachenko, N. and Liang, H., 2024. Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM’s Prediction with Role-play Augmentation and Contrastive Reasoning Calibration. WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop, 385-392.
- Yang, H., Huang, L., Li, T., Rusnachenko, N. and Liang, H., 2024. hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns. WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop, 430-434.
- Zhao, J., Wang, Y., Rusnachenko, N. and Liang, H., 2023. Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents. 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, 1282-1286.
- Rusnachenko, N., Markchom, T. and Liang, H., 2023. nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation. 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, 270-274.
- Golubev, A., Rusnachenko, N. and Loukachevitch, N., 2023. RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Texts. Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 142-160.
- Zhao, J., Liang, H. and Rusnachenko, N., 2023. Dialogue Agents with Literary Character Personality Traits. Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023, 189-196.
- Liu, Y.H., Thomas, P., Gedeon, T. and Rusnachenko, N., 2022. Search interfaces for biomedical searching. CHIIR 2022 - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval, 78-89.
- Loukachevitch, N.V. and Rusnachenko, N.L., 2020. Sentiment frames for attitude extraction in Russian. Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 2020-June (19), 541-552.
- Rusnachenko, N. and Loukachevitch, N., 2020. Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant Supervision. ACM International Conference Proceeding Series, Part F162565, 159-168.
- Rusnachenko, N. and Loukachevitch, N., 2020. Studying attention models in sentiment attitude extraction task. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12089 LNCS, 157-169.
- Rusnachenko, N., Loukachevitch, N. and Tutubalina, E., 2019. Distant supervision for sentiment attitude extraction. International Conference Recent Advances in Natural Language Processing, RANLP, 2019-September, 1022-1030.
- Rusnachenko, N. and Loukachevitch, N., 2019. Neural Network Approach for Extracting Aggregated Opinions from Analytical Articles. Communications in Computer and Information Science, 1003, 167-179.
- Rusnachenko, N.L. and Loukachevitch, N.V., 2018. Extracting sentiment attitudes from analytical texts via piecewise convolutional neural network. CEUR Workshop Proceedings, 2277, 186-192.
- Loukachevitch, N.V. and Rusnachenko, N., 2018. Extracting sentiment attitudes from analytical texts. Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 459-468.
- Rusnachenko, N. and Loukachevitch, N., 2018. Sentiment attitudes and their extraction from analytical texts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11107 LNAI, 41-49.
- Loukachevitch, N.V. and Rusnachenko, N., 2018. Extracting sentiment attitudes from analytical texts. Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 2018-May (17), 448-458.
Preprints
- Rusnachenko, N. and Loukachevitch, N., 2020. Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant Supervision.
- Rusnachenko, N. and Loukachevitch, N., 2020. Studying Attention Models in Sentiment Attitude Extraction Task.
- Loukachevitch, N. and Rusnachenko, N., 2020. Sentiment Frames for Attitude Extraction in Russian.
- Loukachevitch, N. and Rusnachenko, N., 2018. Extracting Sentiment Attitudes From Analytical Texts.