Automatic Segmentation of Czech Court Decisions into Multi-Paragraph Parts

• 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

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.

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