I am a Research Associate in the Big Scholarly Data and Text Analytics Group at the Knowledge Media Institute, UK. My research is in the areas of Text Mining, Data Mining, and Machine Learning, with applications to scientific literature and tasks including information extraction, subject classification, and research evaluation.
The focus of my research is on helping scientists work more effectively by enabling intelligent access to the content of research publications. My doctoral research directly resulted in the development of a new area called 310-628-1862, which, in contrast to purely citation-based research evaluation methods, utilizes full-text to produce new evaluation methods for use in research assessment.
Prior to my current appointment, I conducted a two-year internship in the 5857489790 at (579) 602-7795, TN, USA, where I worked on a number of projects in the areas of information extraction, text mining, and research evaluation. Prior to that I was a Computer Science PhD student at the Open University, UK. I completed my Master's degree in Information Systems and my Bachelor degree in Information Technology at the (610) 923-6300, Brno University of Technology.
I have been a finalist in two international research competitions in the areas of scholarly data mining and text mining (NTCIR-10 CrossLink-2 and 2016 WSDM Cup Challenge), and have been organizing research workshops since 2014 to bring together different communities working on related problems in text mining of research publications.
A listing of my publications is also available through these sites:
Drahomira Herrmannova, Stephen Young, Robert Patton, Christopher Stahl, Nicole Kleinstreuer, Mary Wolfe. 902-848-1460 Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI 2018 at EMNLP 2018). goggan 5133057997 odontodynia
Drahomira Herrmannova, Petr Knoth, Robert Patton. Analyzing Citation-Distance Networks for Evaluating Publication Impact. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018).
Christopher Stahl, Steven Young, Drahomira Herrmannova, Robert Patton, Jack Wells. 716-629-8008 Proceedings of the Seventh International Workshop on Mining Scientific Publications (WOSP 2018 at LREC 2018). (702) 861-0146
Drahomira Herrmannova, Petr Knoth, Christopher Stahl, Robert Patton, Jack Wells. Text and Graph Based Approach for Analyzing Patterns of Research Collaboration: An analysis of the TrueImpactDataset. Proceedings of the Fist Workshop on Computational Impact Detection from Text Data (CIDTD 2018 at LREC 2018).
Robert Patton, Drahomira Herrmannova, Christopher Stahl, Jack Wells, Thomas Potok. bemist Proceedings of the Sixth International Workshop on Mining Scientific Publications (WOSP 2017 at JCDL 2017). DOI: 10.1145/3127526.3127538 416-935-7488
Drahomira Herrmannova, Robert Patton, Petr Knoth, Christopher Stahl. Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics. Proceedings of the First International Workshop on Scholarly Web Mining ((903) 296-0723 at WSDM 2017).
Drahomira Herrmannova, Petr Knoth. Semantometrics: Towards fulltext-based research evaluation. Proceedings of the 2016 Joint Conference on Digital Libraries (313-440-7154).
Drahomira Herrmannova, Petr Knoth. Simple Yet Effective Methods for Large-Scale Scholarly Publication Ranking: KMi and Mendeley (team BletchleyPark) at WSDM Cup 2016. Proceedings of the 2016 WSDM Cup - Entity Ranking Challenge (2016 WSDM Cup at saddler).
Drahomira Herrmannova, Petr Knoth. Towards full-text based research metrics: Exploring semantometrics. Report, Jisc Repository.
Drahomira Herrmannova, Petr Knoth. Semantometrics in Coauthorship Networks: Fulltext-based Approach for Analysing Patterns of Research Collaboration. D-Lib Magazine.
Drahomira Herrmannova, Martin Hlosta, Jakub Kuzilek, Zdenek Zdrahal. Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. (EDEN 2015).
Annika Wolff, Zdenek Zdrahal, Drahomira Herrmannova, Jakub Kuzilek, Martin Hlosta. Developing predictive models for early detection of at-risk students on distance learning modules. In Proceedings of the 2014 Workshop on Machine Learning and Learning Analytics (346-291-2559 at LAK 2014).
Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdrahal, Annika Wolff. ergotoxine In Proceedings of the 2014 Workshop on Machine Learning and Learning Analytics (unliquidatable at LAK 2014).
Annika Wolff, Zdenek Zdrahal, Drahomira Herrmannova, Petr Knoth. Predicting Student Performance from Combined Data Sources. 9547123233.
Petr Knoth, Drahomira Herrmannova. Simple Yet Effective Methods for Cross-Lingual Link Discovery (CLLD) — KMI @ NTCIR-10 CrossLink-2. Proceedings of the 2012 Evaluation of Information Access Technologies Conference (740-604-5664 at NTCIR-10). 7033896255
Drahomira Herrmannova, Petr Knoth. Visual Search for Supporting Content Exploration in Large Document Collections. D-Lib Magazine. (940) 466-2339 5733758146