Annotated Corpus of Czech Case Law for Segmentation Tasks

  Authors

Harašta, Jakub ; Šavelka, Jaromír ; Kasl, František and Míšek, Jakub

  Item identifier

http://hdl.handle.net/11372/LRT-2901

 Project URL

https://www.muni.cz/vyzkum/projekty/36467

 Referenced by

http://jusletter-it.weblaw.ch/issues/2019/23-Mai-2019/automatic-segmentati_f1ab10b8b5.html

 Date issued

2019-05-23

 Type

corpus, text

 Size

350 articles

 Language(s)

Czech

 Description

Annotated corpus of 350 decision of Czech top-tier courts (Supreme Court, Supreme Administrative Court, Constitutional Court). 280 decisions were annotated by one trained annotator and then manually adjudicated by one trained curator. 70 decisions were annotated by two trained annotators and then manually adjudicated by one trained curator. Adjudication was conducted destructively, therefore dataset contains only the correct annotations and does not contain all original annotations. Corpus was developed as training and testing material for text segmentation tasks. Dataset contains decision segmented into Header, Procedural History, Submission/Rejoinder, Court Argumentation, Footer, Footnotes, and Dissenting Opinion. Segmentation allows to treat different parts of text differently even if it contains similar linguistic or other features.

 Publisher

Masaryk University, Brno

 Acknowledgement

Grantová agentura ČR

Project code: GA17-20645S

Project name: Exaktní hodnocení aplikační relevance judikatury

 Subject(s)

document segmentation legal texts

 Collection(s)

LRT + Open Submissions Data & Tools

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