Jaromir Savelka

Graduate Student, Dr. Ashley

School of Arts and Sciences

Intelligent Systems Program

Faculty Advisor: Kevin Ashley

Research Interests

I focus on legal text analytics and application of machine learning and natural language processing to improve legal workflows. In my dissertation I have developed an information retrieval technology automating interpretation of statutory and regulatory terms. I have extensive experience with automatic transformation of unstructured legal data into a structured representation (network, relational database). I have worked on knowledge re-use techniques for automatic classification of legal texts applying concepts from transfer learning. I have also experimented with an interactive machine learning to support legal text analysis.

Recent Publications

Gray, M., Šavelka, J., Oliver, W., & Ashley, K. (2022) Toward automatically identifying legally relevant factors. Legal Knowledge and Information Systems.

Savelka, J., & Ashley, K. D. (2018). Segmenting U.S. court decisions into functional and issue specific parts. Proceedings of JURIX 2018. Groningen, The Netherlands.

Harašta, J., Šavelka, J., Kasl, F., Kotková, A., Loutocký, P., Míšek, J., Procházková, D., Pullmannová, H., Semenišín, P., Šejnová, T. and Šimková, N., (2018). Annotated corpus of Czech case Law for reference recognition tasks. In International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining (pp. 239-250). Springer, Cham.

Savelka, J., Walker, V. R., Grabmair, M., & Ashley, K. D. (2017). Sentence Boundary Detection in Adjudicatory Decisions in the United States. Traitement automatique des langues, 58(2), 21-45.

Harasta, J., & Savelka, J. (2017). Toward linking heterogenous references in Czech court decisions to content. Legal Knowledge and Information Systems, 302, 177-182.

News and Awards

Best Student Paper Award at JURIX 2019: Legal Knowledge and Information Systems

2019

Pitt Cyber Accelerator Grant (PCAG) for the Annotating Cases for Learning to Summarize project.

2019

Kevin Ashley, Professor, Law and Intelligent Systems in the School of Law, and LRDC Senior Scientist received a grant from the Institute for Cyber Law, Policy, and Security 2018 Pitt Cyber Accelerator Grants Program. Winners receive funding for research projects that examine the swiftly changing technological landscape and the rules, practices and safeguards designed to keep it secure. Jaromir Savelka, PhD candidate, School of Computing and Information, and LRDC graduate student also received a grant.

November 19, 2018

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Pitt Cyber Accelerator Grant (PCAG) for the Statutory Interpretation Data Set project.

2018

Graduate Research Fellowship in Science, Technology, Engineering and Mathematics

2017-2018