Sentence Boundary Detection in German Legal Documents

Ingo Glaser; Sebastian Moser; Florian Matthes

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Paper

Sentence Boundary Detection in German Legal Documents

Topics: Deep Learning; Legal Technologies; Machine Learning; Natural Language Processing; Neural Networks

In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 812-821, 2021

Authors: Ingo Glaser ; Sebastian Moser and Florian Matthes

Affiliation: Chair of Software Engineering for Business Information Systems, Technical University of Munich, Boltzmannstrasse 3, 85748 Garching bei München, Germany

Keyword(s): Sentence Boundary Detection, Natural Language Processing, Legal Document Analysis.

Abstract: Sentence boundary detection on German legal texts is a task which standardized NLP-systems have little or no ability to handle, since they are sometimes overburdened by more complex structures such as lists, paragraph structures and citations. In this paper we evaluate the performance of these systems and adapt methods directly to the legal domain. We created an annotated dataset with over 50,000 sentences consisting of various German legal documents which can be utilized for further research within the community. Our neural networks and conditional random fields models show significantly higher performances on this data than the tested, already existing systems. Thus this paper contradicts the assumption that the problem of segmenting sentences is already solved.

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Paper citation in several formats:

Glaser, I.; Moser, S. and Matthes, F. (2021). Sentence Boundary Detection in German Legal Documents. 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 812-821. DOI: 10.5220/0010246308120821

@conference{icaart21,
author={Ingo Glaser. and Sebastian Moser. and Florian Matthes.},
title={Sentence Boundary Detection in German Legal Documents},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={812-821},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010246308120821},
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 - Sentence Boundary Detection in German Legal Documents
SN - 978-989-758-484-8
IS - 2184-433X
AU - Glaser, I.
AU - Moser, S.
AU - Matthes, F.
PY - 2021
SP - 812
EP - 821
DO - 10.5220/0010246308120821
PB - SciTePress