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Authors: Stefanie Urchs 1 ; Jelena Mitrović 2 and Michael Granitzer 2

Affiliations: 1 Chair of Software Engineering for Business Information Systems, Technical University of Munich, Garching, Germany ; 2 Chair of Data Science, University of Passau, Passau, Germany

Keyword(s): Datasets, German Law, German Legal Writing Styles, Machine Learning, Natural Language Processing.

Abstract: Law professionals are wordsmiths, their main tool is language. Therefore, the field of law produces a vast amount of written text. These texts have to be analysed, summarised, and used in the creation of new text, which is a task that reaches the limits of what is humanly possible. However, it is possible to automate this analysis by using Natural Language Processing techniques. To perform these techniques (annotated) text corpora are required. Unfortunately, publicly available (annotated) legal text corpora are rare. Even scarcer is the availability of (annotated) German legal text corpora. To meet this need for publicly available German legal text corpora this paper presents two German legal text corpora. The first corpus contains 32,748 decisions from 131 German courts, enriched with metadata. The second one is a subset of the first corpus and consists of 200 randomly chosen judgements. In these judgements a legal expert annotated the components conclusion, definition and subsumpt ion of the German legal writing style Urteilsstil. Furthermore, the paper presents experiments on these corpora. (More)

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Paper citation in several formats:
Urchs, S.; Mitrović, J. and Granitzer, M. (2021). Design and Implementation of German Legal Decision Corpora. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 515-521. DOI: 10.5220/0010187305150521

@conference{icaart21,
author={Stefanie Urchs. and Jelena Mitrović. and Michael Granitzer.},
title={Design and Implementation of German Legal Decision Corpora},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={515-521},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010187305150521},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Design and Implementation of German Legal Decision Corpora
SN - 978-989-758-484-8
IS - 2184-433X
AU - Urchs, S.
AU - Mitrović, J.
AU - Granitzer, M.
PY - 2021
SP - 515
EP - 521
DO - 10.5220/0010187305150521
PB - SciTePress