Annotated Corpus of Czech Case Law for Segmentation Tasks

  Autoři

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

  Identifikátor

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

 URL projektu

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

 Odkaz na záznam v

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

 Datum vydání

2019-05-23

 Typ

corpus, text

 Velikost

350 articles

 Jazyky

Czech

 Popis

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.

 Nakladatel

Masaryk University, Brno

 Sponzoři

Grantová agentura ČR

Kód projektu: GA17-20645S

Jméno projektu: Exaktní hodnocení aplikační relevance judikatury

 Klíčová slova

document segmentation legal texts

 Kolekce

LRT + Open Submissions Data & Tools

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