🧑‍🔬 Nicolay Rusnachenko

🏛️ Affiliations

🎓Bournemouth UniversityPoole · United Kingdom2024–2027 · 6 papersEmployment 2024–2027 · Research Fellow in Marking Medical Images with NLP, Faculty of Media and Communicationcurrent🎓Newcastle UniversityNewcastle upon Tyne · United Kingdom2022–2025 · 10 papersEmployment 2022–2023 · Research Assistant in Natural Language Processing, School of Computing🎓Bauman Moscow State Technical UniversityMoscow · Russia2017–2024 · 9 papersEducation 2017–2022 · Doctor, Department of Computer Science and Technologies

🏛️CJSC NTMoscow · Russia2016–2022Employment 2016–2022 · .NET Software Developer

🎓Lomonosov Moscow State UniversityMoscow · Russia2022Employment 2022 · Research Assistant in Natural Language Processing🎓Charles Sturt UniversityBathurst · Australia2017Employment 2017 · Contribution: Search-Logs Analysis for medial data

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression (2026 · 1 citation)
   This paper reports a system for SemEval-2026 Task 3 (DimABSA), Track A, Subtask 1. In this subtask, each aspect mentioned in a sentence receives two continuous scores, valence and arousal, on a 1–9 scale, rather than a categorical polarity label. The authors fine-tune XLM-RoBERTa-base on input pairs of the form…
2. MedEvi-NS at ArchEHR-QA 2026: Using Clinical Reasoning Principles to Improve Zero-shot Capabilities of Large Language Models in Evidence Alignment (2026)
   The paper addresses subtask 4 of the ArchEHR-QA 2026 shared task. Given a clinician's reading of a patient question, an excerpt from an EHR note and an answer text, a system must link every answer sentence to the note sentences that back it up. Similarity-based retrieval can fail here because clinical notes often…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents ↗Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yetJunzhe Zhao et al.2023 · 5 citations
2. nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation ↗Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yetNicolay Rusnachenko, Thanet Markchom, Huizhi Liang2023 · 4 citations
3. NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment RegressionInternational Workshop on Semantic Evaluation (SemEval)Tong Wu, Nicolay Rusnachenko, Huizhi(elly) Liang2026 · 1 citation
4. MedEvi-NS at ArchEHR-QA 2026: Using Clinical Reasoning Principles to Improve Zero-shot Capabilities of Large Language Models in Evidence AlignmentWorkshop on Patient-Oriented Language Processing @ LRECMengxuan Sun, Nicolay Rusnachenko2026

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Huizhi(elly) Liang
• Tong Wu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Workshop on Semantic Evaluation (SemEval) ×3: SemEval 2026
• Workshop on Patient-Oriented Language Processing @ LREC: Workshop on Patient-Oriented Language Processing @ LREC 2026

🔗 Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

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