Publication details

Automatic Segmentation of Czech Court Decisions into Multi-Paragraph Parts

Authors

HARAŠTA Jakub ŠAVELKA Jaromír KASL František MÍŠEK Jakub

Type Article in Periodical
Magazine / Source Jusletter IT
MU Faculty or unit

Faculty of Law

Citation
Web
Keywords text segmentation; NLP; case law
Attached files
Description The authors describe a tool for automatic segmentation of the Czech top-tier court decisions (Supreme Court, Supreme Administrative Court, and Constitutional Court) into multi-paragraph parts. The tool allows segmenting a decision into Header, Party Response, Proceeding Summary, Court Argumentation, Footer, Dissent, and Footnotes. Segmenting text into multi-paragraph parts allows to treat different parts differently even when they contain similar linguistic or other features. Eventually, this is useful in data processing pipelines, as this tool is planned for use in automatic reference recognition purposes.
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