CV

Contact Information

Name Igor Rozhkov
Email 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, biomedical NLP, and shared-task organization

Experience

  • 2022 - present

    Moscow, Russia

    Researcher
    Research Computing Center of Lomonosov Moscow State University
    • Developed nested NER and relation extraction methods; ran experiments for the NEREL and NEREL-BIO dataset papers
    • Co-organized the BioNNE-R Shared Task at CLEF 2026 BioASQ — biomedical relation extraction over nested named entities, with international participation
    • Applied domain and language adaptation techniques for information extraction in biomedical and low-resource settings

Education

  • 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
  • 2022 - 2024

    Moscow, Russia

    MSc,
    Lomonosov Moscow State University
    Computer Science, NLP
    • Thesis: Recognizing nested entities based on flat annotation
    • Advisor: Natalia Loukachevitch
  • 2024 - present

    Moscow, Russia

    PhD
    Lomonosov Moscow State University
    Computer Science, NLP
    • Thesis: Methods for Nested Named Entity Recognition
    • Advisor: Natalia Loukachevitch

Conference Presentations

  • 2022
    Dialogue Evaluation 2022
    • Machine Reading Comprehension Model in RuNNE Competition (oral)
  • 2022
    Huawei workshop 'ML/AI/NLP for search-engine performance improvement'
    • Prompts in few-shot and cross-domain tasks of nested named entity recognition
  • 2024
    Lomonosov Readings 2024, Section of Computational Mathematics and Cybernetics
    • Pre-trained Language Models for Nested Named Entity Recognition (oral)
  • 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)
  • 2026
    EACL 2026, Student Research Workshop (Rabat)
    • Learning Nested Named Entity Recognition from Flat Annotations (poster)
  • 2026
    CLEF 2026, BioASQ Lab (online)
    • Overview of the BioASQ BioNNE-R Task on Nested Biomedical Relation Extraction

Projects

  • BioNNE-R: Nested Biomedical Relation Extraction (BioASQ, CLEF 2026)

    Shared task on relation extraction over nested biomedical named entities

    • Co-organizer; first author of the task overview paper (CEUR Workshop Proceedings, Vol. 4283), presented at CLEF 2026
  • NEREL-BIO

    Dataset of biomedical abstracts annotated with nested named entities

  • RuNNE-2022 Shared Task

    Shared task on Russian nested named entity recognition at Dialogue Evaluation 2022 (156 submissions from nine teams)

    • Developed the baseline system
  • NEREL

    Russian information extraction dataset with nested named entities (29 types), relations, and Wikidata entity links

Teaching Assistantship

Methods and Tools of Information Retrieval
Departmental Practicum

Professional Service

Developed baseline system for RuNNE-2022 Shared Task
Co-organizer, BioNNE-R Shared Task (nested biomedical relation extraction), BioASQ Lab at CLEF 2026

Awards

  • 2024
    Lomonosov Moscow State University Scholarship for Young Researchers, Graduate Students, and Students with Outstanding Achievements in Teaching and Research

Skills

Programming: Python, PyTorch, Hugging Face Transformers
Methods: Nested NER, Relation Extraction, Information Extraction, Few-shot Learning, LLM Prompting
Tools: Git, LaTeX, Linux, Docker

Languages

English : C1
Russian / Русский : Native
Japanese / 日本語 : B1 level / JLPT N4

Publications

2026

  1. Learning Nested Named Entity Recognition from Flat Annotations
    Igor Rozhkov and Natalia V Loukachevitch
    In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop), Mar 2026
    DOI
  2. Overview of the BioASQ BioNNE-R Task on Nested Biomedical Relation Extraction at CLEF 2026
    Igor Rozhkov, Natalia Loukachevitch, and Elena Tutubalina
    In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2026), Oct 2026
  3. BioASQ at CLEF2026: The Fourteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
    Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, and 18 more authors
    In Advances in Information Retrieval, 2026
    DOI
  4. Overview of BioASQ 2026: The Fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
    Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, and 8 more authors
    In International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2026), Sep 2026

2025

  1. Domain-Specific Named Entity Extraction from a Heterogeneous Input Stream
    Н. В. Лукашевич, И. С. Рожков, and Б. В. Добров
    In Programming and Computational Mathematics: Proceedings of the Conference Dedicated to the 100th Anniversary of N. P. Trifonov, 2025
  2. Methods for Recognizing Nested Terms
    Igor Rozhkov and Natalia Loukachevitch
    May 2025
    DOI arXiv

2024

  1. NEREL: A Russian Information Extraction Dataset with Rich Annotation for Nested Entities, Relations, and Wikidata Entity Links
    Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, and 8 more authors
    Language Resources and Evaluation, Jun 2024
    DOI
  2. Pre-trained Language Models for Nested Named Entity Recognition
    Н. В. Лукашевич and И. С. Рожков
    In Lomonosov Readings 2024: Scientific Conference, Faculty of CMC, Lomonosov Moscow State University. Abstracts, 2024

2023

  1. NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities
    Natalia Loukachevitch, Suresh Manandhar, Elina Baral, and 5 more authors
    Bioinformatics, Apr 2023
    DOI
  2. Machine Reading Comprehension Model in Domain-Transfer Task
    I. S. Rozhkov and N. V. Loukachevitch
    Lobachevskii Journal of Mathematics, Aug 2023
    DOI
  3. Prompts in Few-Shot Named Entity Recognition
    I. S. Rozhkov and N. V. Loukachevitch
    Pattern Recognition and Image Analysis, Jun 2023
    DOI

2022

  1. RuNNE-2022 Shared Task: Recognizing Nested Named Entities
    Ekaterina Artemova, Maxim Zmeev, Natalia Loukachevitch, and 4 more authors
    In Computational Linguistics and Intellectual Technologies: Proceedings of Dialogue 2022, Jun 2022
    DOI arXiv
  2. Machine Reading Comprehension Model in RuNNE Competition
    Igor Rozhkov and Natalia Loukachevitch
    In Computational Linguistics and Intellectual Technologies: Proceedings of Dialogue 2022, Jun 2022
    DOI

2021

  1. NEREL: A Russian Dataset with Nested Named Entities and Relations
    I. V. Denisov, I. S. Rozhkov, and N. V. Lukashevich
    Intelligent Systems. Theory and Applications, Oct 2021