• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

Contact


Email

y.otmakhova@unimelb.edu.au

Credentials


Position
Research Fellow, NLP/Media Bias
School of Computing and Information Systems
Education
PhD
University of Melbourne
Masters
Seoul National University
Bachelors Degree (Honours)
Tomsk State University
ORCID

0000-0002-6738-3451

Dr Yulia Otmakhova

Research Fellow, NLP/Media Bias
School of Computing and Information Systems

18 Scholarly works
1 Projects

HIGHLIGHTS

  • 2025

    Conference Proceedings

    Narrative Media Framing in Political Discourse
    DOI: 10.18653/v1/2025.findings-acl.477
  • 2025

    Report

    Submission to the Select Committee on Information Integrity on Climate Change and Energy, Parliament of Australia
  • 2025

    Research grants (other domestic)

    Detecting Misinforming Narrative Plots in Climate Change News
  • 2024

    Conference Proceedings

    Revisiting subword tokenization: A case study on affixal negation in large language models
    DOI: 10.18653/v1/2024.naacl-long.284
  • 2024

    Conference Proceedings

    Media Framing: A Typology and Survey of Computational Approaches Across Disciplines
    DOI: 10.18653/v1/2024.acl-long.822
  • 2024

    Conference Proceedings

    Generative Debunking of Climate Misinformation
    DOI: 10.18653/v1/2024.climatenlp-1.4
  • 2023

    Journal article

    Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study
    DOI: 10.2196/35568
Yulia Otmakhova

RECENT SCHOLARLY WORKS

  • 2023

    Conference Proceedings

    Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
    DOI: 10.18653/v1/2023.acl-long.549
  • 2022

    Journal article

    Multi-label classification for biomedical literature: An overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
    DOI: 10.1093/database/baac069
  • 2022

    Conference Proceedings

    The patient is more dead than alive: exploring the current state of the multi-document summarization of the biomedical literature
    DOI: 10.18653/v1/2022.acl-long.350
  • 2022

    Conference Proceedings

    Cross-linguistic comparison of linguistic feature encoding in BERT models for typologically different languages
    DOI: 10.18653/v1/2022.sigtyp-1.4

We acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated

Read about our commitment to reconciliation  

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia


View all Campus locations  
facebookIconlinkedinIconinstagramIcontwitterIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy  |  VaxFACTS

CRICOS number: 00116K     ABN: 84 002 705 224