Annotated Corpus of Czech Case Law for Reference Recognition Tasks
| Autor: | Jaromír Šavelka, Pavel Loutocký, František Kasl, Adéla Kotková, Jakub Harašta, Daniela Procházková, Jakub Míšek, Jan Zibner, Helena Pullmannová, Michal Vosinek, Nikola Šimková, Petr Semenišín, Tamara Šejnová, Lucie Zavadilová |
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| Rok vydání: | 2018 |
| Předmět: |
Czech
Computer science business.industry Common law 05 social sciences Economic shortage 16. Peace & justice 050905 science studies computer.software_genre language.human_language Manual annotation language Relevance (information retrieval) Artificial intelligence 0509 other social sciences 050904 information & library sciences business computer Natural language processing |
| Zdroj: | Text, Speech, and Dialogue ISBN: 9783030007935 TSD |
| DOI: | 10.1007/978-3-030-00794-2_26 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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