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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Contribution Statement and Acknowledgment
J.H. developed the annotation scheme, prepared the annotation manual, and selected the court decisions included in the dataset. J.H., T.Š., N.Š., and J.Z. participated in dummy runs and evaluation of annotation manual. J.H., F.K., A.K., P.L., J.M., D.P., H.P., P.S., T.Š., N.Š., M.V., L.Z., and J.Z. annotated the decisions. J.H., P.L., and J.M. curated/edited the decisions. J.Š. programmed the annotation environment, prepared dataset for publication, and prepared dataset statistics. J.H., J.Š., F.K. wrote the paper with input from all authors.
J.H., F.K., A.K., P.L., J.M., D.P., H.P., P.S., T.Š., M.V., L.Z., and J.Z. gratefully acknowledge the support from the Czech Science Foundation under grant no. GA17-20645S.
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Harašta, J. et al. (2018). Annotated Corpus of Czech Case Law for Reference Recognition Tasks. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2018. Lecture Notes in Computer Science(), vol 11107. Springer, Cham. https://doi.org/10.1007/978-3-030-00794-2_26
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