Automatic Segmentation of Czech Court Decisions into Multi-Paragraph Parts

Warning

This publication doesn't include Institute of Computer Science. It includes Faculty of Law. Official publication website can be found on muni.cz.

Authors	HARAŠTA Jakub ŠAVELKA Jaromír KASL František MÍŠEK Jakub
Year of publication	2019
Type	Article in Periodical
Magazine / Source	Jusletter IT
MU Faculty or unit	Faculty of Law
Citation
Web	Text (dostupný po přihlášení) Korpus publikovaný v repozitáři LINDAT/CLARIN (MFF UK)
Keywords	text segmentation; NLP; case law
Attached files	Automatic_Segmentation_-_fulltext.pdf
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.
Related projects:	Exaktní hodnocení aplikační relevance judikatury