D
2018
Annotated Corpus of Czech Case Law for Reference Recognition Tasks
HARAŠTA, Jakub; Jaromír ŠAVELKA; František KASL; Adéla KOTKOVÁ; Pavel LOUTOCKÝ et. al.
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
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
RIV identification code
RIV/00216224:14220/18:00101155
Organization
Právnická fakulta – Repository – Repository
EID Scopus
2-s2.0-85053907376
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.
V originále
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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