Scholar

Drahomira Herrmannova

Google Scholar ID: BgdCMusAAAAJ

Elsevier

Text MiningNLPScholarly Data

Citations & Impact

All-time

Citations

614

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

2021: Paper 'Weak Supervision for Scientific Document Relevance Tagging' accepted at JCDL 2021.
2021: Co-authored 'A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators' published in ACL-IJCNLP 2021 Findings.
2021: Presented 'Challenges in Automated Detection of COVID-19 Misinformation' at CHI 2021 Workshop on Human Aspects of Misinformation Online.
2020: Contributed to 'Scalable Knowledge Graph Analytics at 136 Petaflop/s' (SC 2020), an ACM Gordon Bell Prize Finalist.
2019: Paper 'Do Authors Deposit on Time? Tracking Open Access Policy Compliance' won the Vannevar Bush Best Paper Award at JCDL 2019.
2018: Published multiple papers at LOUHI, LREC, and WOSP on topics including toxicology descriptor identification, citation network analysis, PDF text extraction, and research collaboration patterns.

Background

Research Scientist in the Learning Systems Group at Oak Ridge National Laboratory.
Research focuses on utilizing Artificial Intelligence to enable intelligent access to the content of research publications.
Research interests include Text Mining, Natural Language Processing, Machine Learning, and their applications to biomedical, scientific, and expert literature and data.
Recent work includes developing models for literature screening and information extraction in low-resource settings, data extraction from tables in scientific documents, and deploying misinformation detection models to study health impacts of misinformation.
Previously a postdoctoral researcher at the Knowledge Media Institute, The Open University, UK.

Co-authors

34 total