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 a Jan ZIBNER. Annotated Corpus of Czech Case Law for Reference Recognition Tasks. Online. In Text, Speech, and Dialogue: 21st International Conference. Cham: Springer Nature Switzerland AG, 2018, s. 239-250. ISBN 978-3-030-00793-5. |
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@inproceedings{33638, author = {Harašta, Jakub and Šavelka, Jaromír and Kasl, František and Kotková, Adéla and Loutocký, Pavel and Míšek, Jakub and Procházková, Daniela and Pullmannová, Helena and Semenišín, Petr and Šejnová, Tamara and Šimková, Nikola and Vosinek, Michal and Zavadilová, Lucie and Zibner, Jan}, address = {Cham}, booktitle = {Text, Speech, and Dialogue: 21st International Conference}, keywords = {Reference recognition; dataset; legal texts; manual annotation}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Cham}, isbn = {978-3-030-00793-5}, pages = {239-250}, publisher = {Springer Nature Switzerland AG}, title = {Annotated Corpus of Czech Case Law for Reference Recognition Tasks}, url = {http://hdl.handle.net/11234/1-2647}, year = {2018} }
TY - JOUR ID - 33638 AU - Harašta, Jakub - Šavelka, Jaromír - Kasl, František - Kotková, Adéla - Loutocký, Pavel - Míšek, Jakub - Procházková, Daniela - Pullmannová, Helena - Semenišín, Petr - Šejnová, Tamara - Šimková, Nikola - Vosinek, Michal - Zavadilová, Lucie - Zibner, Jan PY - 2018 TI - Annotated Corpus of Czech Case Law for Reference Recognition Tasks PB - Springer Nature Switzerland AG CY - Cham SN - 9783030007935 KW - Reference recognition KW - dataset KW - legal texts KW - manual annotation UR - http://hdl.handle.net/11234/1-2647 N2 - 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. ER -
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 a Jan ZIBNER. Annotated Corpus of Czech Case Law for Reference Recognition Tasks. Online. In \textit{Text, Speech, and Dialogue: 21st International Conference}. Cham: Springer Nature Switzerland AG, 2018, s.~239-250. ISBN~978-3-030-00793-5.
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