Nikolai Rusnachenko

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

Conferences

  • Peach, H., Rusnachenko, N., Baraskar, M., Liang, H., 2025. Using Sentence Embedding Techniques for Enhancing Terms-of-Service Text Summarization. Lecture Notes in Networks and Systems, 1230 LNNS, 55-64.
  • Rusnachenko, N., Liu, X., Chang, J., Zhang, J.J., 2025. Using Decoder-Based Distillation for Enhancing Multilingual Clinical Case Report Summarization. Ceur Workshop Proceedings, 4038, 544-553.
  • Rusnachenko, N., 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 16/06/2024 Mexico City, Mexico.
  • Rusnachenko, N., Liang, H., Kalameyets, M., 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., 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., 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., Liang, H., Rusnachenko, N., 2024. NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation. Semeval 2024 18th International Workshop on Semantic Evaluation Proceedings of the Workshop, 261-269.
  • Rusnachenko, N., Liang, H., 2024. nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. Semeval 2024 18th International Workshop on Semantic Evaluation Proceedings of the Workshop, 22-27.
  • Liu, X., Huang, M., Rusnachenko, N., Ive, J., Chang, J., Zhang, J.J., 2024. Enhancing Medical Dialogue Summarization: A MediExtract Distillation Framework. Proceedings 2024 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2024, 6466-6473.
  • Zhao, J., Wang, Y., Rusnachenko, N., 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., Liang, H., 2023. nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation. In: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) Association for Computational Linguistics (ACL) 13/07/2023 Toronto, Canada. 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, 270-274.
  • Golubev, A., Rusnachenko, N., 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., 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., 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., 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., 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., 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., Tutubalina, E., 2019. Distant supervision for sentiment attitude extraction. International Conference Recent Advances in Natural Language Processing Ranlp, 2019-September, 1022-1030.
  • Rusnachenko, N., 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., Loukachevitch, N.V., 2018. Extracting sentiment attitudes from analytical texts via piecewise convolutional neural network. Ceur Workshop Proceedings, 2277, 186-192.
  • Loukachevitch, N.V., Rusnachenko, N., 2018. Extracting sentiment attitudes from analytical texts. Komp Juternaja Lingvistika I Intellektual Nye Tehnologii, 459-468.
  • Rusnachenko, N., Loukachevitch, N., 2018. Sentiment attitudes and their extraction from analytical texts. Lecture Notes in Computer Science, 11107 LNAI, 41-49.
  • Loukachevitch, N.V., Rusnachenko, N., 2018. Extracting sentiment attitudes from analytical texts. Komp Juternaja Lingvistika I Intellektual Nye Tehnologii, 2018-May (17), 448-458.

Preprints

The data on this page was last updated at 22:00 on February 16, 2026.