HARAŠTA, Jakub, Jaromír ŠAVELKA, František KASL, Adéla KOTKOVÁ, Pavel LOUTOCKÝ, Jakub MÍŠEK, Daniela PROCHÁZKOVÁ, Helena PULLMANNOVÁ, Petr SEMENIŠÍN, Tamara ŠEJNOVÁ, Nikola ŠIMKOVÁ, Michal VOSINEK, Lucie ZAVADILOVÁ and Jan ZIBNER. Annotated Corpus of Czech Case Law for Reference Recognition Tasks. In Text, Speech, and Dialogue: 21st International Conference. Cham: Springer Nature Switzerland AG. p. 239-250. ISBN 978-3-030-00793-5. 2018.
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Basic information
Original name Annotated Corpus of Czech Case Law for Reference Recognition Tasks
Authors HARAŠTA, Jakub (203 Czech Republic, belonging to the institution), Jaromír ŠAVELKA (203 Czech Republic), František KASL (203 Czech Republic, belonging to the institution), Adéla KOTKOVÁ (203 Czech Republic, belonging to the institution), Pavel LOUTOCKÝ (203 Czech Republic, belonging to the institution), Jakub MÍŠEK (203 Czech Republic, belonging to the institution), Daniela PROCHÁZKOVÁ (203 Czech Republic, belonging to the institution), Helena PULLMANNOVÁ (203 Czech Republic, belonging to the institution), Petr SEMENIŠÍN (203 Czech Republic, belonging to the institution), Tamara ŠEJNOVÁ (203 Czech Republic, belonging to the institution), Nikola ŠIMKOVÁ (703 Slovakia, belonging to the institution), Michal VOSINEK (203 Czech Republic, belonging to the institution), Lucie ZAVADILOVÁ (203 Czech Republic, belonging to the institution) and Jan ZIBNER (203 Czech Republic, belonging to the institution).
Edition Cham, Text, Speech, and Dialogue: 21st International Conference, p. 239-250, 12 pp. 2018.
Publisher Springer Nature Switzerland AG
Other information
Original language English
Type of outcome Proceedings paper
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL URL
RIV identification code RIV/00216224:14220/18:00101155
Organization Právnická fakulta – Repository – Repository
ISBN 978-3-030-00793-5
ISSN 0302-9743
UT WoS 000611532300026
Keywords (in Czech) rozpoznávání referencí; dataset; právní texty; manuální anotace
Keywords in English Reference recognition; dataset; legal texts; manual annotation
Links GA17-20645S, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 23/3/2021 01:44.
Abstract
We describe an annotated corpus of 350 decisions of Czech top-tier courts which was gathered for a project assessing the relevance of court decisions in Czech law. We describe two layers of processing of the corpus; every decision was annotated by two trained annotators and then manually adjudicated by one trained curator to solve possible disagreements between annotators. This corpus was developed as training and testing material for reference recognition tasks which will be further used for research on assessment of legal importance. However, the overall shortage of available research corpora of annotated legal texts, particularly in Czech language, leads us to believe that other research teams may find it useful.
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