CV
Contact Information
| Name | Igor Rozhkov |
| fulstocky@gmail.com | |
| Website | https://fulstock.github.io |
| Profiles | X · GitHub · LinkedIn · Google Scholar |
Professional Summary
PhD student in NLP, specializing in nested NER and Relation Extraction
Experience
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2022 - present Moscow, Russia
Researcher
Research Computing Center of Lomonosov Moscow State University
- Research on nested NER and RE methods, biomedical NLP, dataset development, shared task organization
Education
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2018 - 2022 Moscow, Russia
BSc,
Lomonosov Moscow State University
Computer Science, NLP
- Thesis: A Study of Methods for Automatic Nested Named Entity Recognition
- Advisor: Natalia Loukachevitch
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2022 - 2024 Moscow, Russia
MSc,
Lomonosov Moscow State University
Computer Science, NLP
- Thesis: Recognizing nested entities based on flat annotation
- Advisor: Natalia Loukachevitch
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2024 - present Moscow, Russia
PhD
Lomonosov Moscow State University
Computer Science, NLP
- Thesis: Methods for Nested Named Entity Recognition
- Advisor: Natalia Loukachevitch
Conference Presentations
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2022 Dialogue Evaluation 2022
- Machine Reading Comprehension Model in RuNNE Competition (oral)
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2022 Huawei workshop 'ML/AI/NLP for search-engine performance improvement'
- Prompts in few-shot and cross-domain tasks of nested named entity recognition
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2024 Lomonosov Readings 2024, Section of Computational Mathematics and Cybernetics
- Pre-trained Language Models for Nested Named Entity Recognition (oral)
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2025 Conference 'Programming and Computational Mathematics' Dedicated to the 100th Anniversary of N. P. Trifonov
- Domain-Specific Named Entity Extraction from a Heterogeneous Input Stream (oral)
Teaching Assistantship
Methods and Tools of Information Retrieval
Methods and Tools of Information Retrieval
Departmental Practicum
Professional Service
Developed baseline system for RuNNE-2022 Shared Task
BioNNE-R Shared Task competition at CLEF 2026 BioASQ
Awards
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2024 Lomonosov Moscow State University Scholarship for Young Researchers, Graduate Students, and Students with Outstanding Achievements in Teaching and Research
Skills
:
Languages
English : C1
Russian / Русский : Native
Japanese / 日本語 : B1 level / JLPT N4
Publications
2026
- Learning Nested Named Entity Recognition from Flat AnnotationsIn Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop), Mar 2026
- BioASQ at CLEF2026: The Fourteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering ChallengeIn Advances in Information Retrieval, 2026
2025
- Domain-Specific Named Entity Extraction from a Heterogeneous Input StreamIn Programming and Computational Mathematics: Proceedings of the Conference Dedicated to the 100th Anniversary of N. P. Trifonov, 2025
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2024
- NEREL: A Russian Information Extraction Dataset with Rich Annotation for Nested Entities, Relations, and Wikidata Entity LinksLanguage Resources and Evaluation, Jun 2024
- Pre-trained Language Models for Nested Named Entity RecognitionIn Lomonosov Readings 2024: Scientific Conference, Faculty of CMC, Lomonosov Moscow State University. Abstracts, 2024
2023
- NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named EntitiesBioinformatics, 2023
- Machine Reading Comprehension Model in Domain-Transfer TaskLobachevskii Journal of Mathematics, Aug 2023
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2022
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- Machine Reading Comprehension Model in RuNNE CompetitionIn Computational Linguistics and Intellectual Technologies, Jun 2022
- I. V. Denisov, I. S. Rozhkov, N. V. Lukashevich, “NEREL: A Russian Dataset with Nested Named Entities and Relations”, Intelligent Systems. Theory and Applications, 25:4 (2021), 243–249