Mining legal arguments in court decisions

I. Habernal, D. Faber, N. Recchia, S. Bretthauer, I. Gurevych, I. Spiecker genannt Döhmann, C. Burchard, Artificial Intelligence and Law (2023).

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Journal Article | Published | English
Habernal, IvanLibreCat; Faber, Daniel; Recchia, Nicola; Bretthauer, Sebastian; Gurevych, Iryna; Spiecker genannt Döhmann, Indra; Burchard, Christoph
<jats:title>Abstract</jats:title><jats:p>Identifying, classifying, and analyzing arguments in legal discourse has been a prominent area of research since the inception of the argument mining field. However, there has been a major discrepancy between the way natural language processing (NLP) researchers model and annotate arguments in court decisions and the way legal experts understand and analyze legal argumentation. While computational approaches typically simplify arguments into generic premises and claims, arguments in legal research usually exhibit a rich typology that is important for gaining insights into the particular case and applications of law in general. We address this problem and make several substantial contributions to move the field forward. First, we design a new annotation scheme for legal arguments in proceedings of the European Court of Human Rights (ECHR) that is deeply rooted in the theory and practice of legal argumentation research. Second, we compile and annotate a large corpus of 373 court decisions (2.3M tokens and 15k annotated argument spans). Finally, we train an argument mining model that outperforms state-of-the-art models in the legal NLP domain and provide a thorough expert-based evaluation. All datasets and source codes are available under open lincenses at <jats:ext-link xmlns:xlink="" ext-link-type="uri" xlink:href=""></jats:ext-link>.</jats:p>
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Artificial Intelligence and Law

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Habernal I, Faber D, Recchia N, et al. Mining legal arguments in court decisions. Artificial Intelligence and Law. Published online 2023. doi:10.1007/s10506-023-09361-y
Habernal, I., Faber, D., Recchia, N., Bretthauer, S., Gurevych, I., Spiecker genannt Döhmann, I., & Burchard, C. (2023). Mining legal arguments in court decisions. Artificial Intelligence and Law.
@article{Habernal_Faber_Recchia_Bretthauer_Gurevych_Spiecker genannt Döhmann_Burchard_2023, title={Mining legal arguments in court decisions}, DOI={10.1007/s10506-023-09361-y}, journal={Artificial Intelligence and Law}, publisher={Springer Science and Business Media LLC}, author={Habernal, Ivan and Faber, Daniel and Recchia, Nicola and Bretthauer, Sebastian and Gurevych, Iryna and Spiecker genannt Döhmann, Indra and Burchard, Christoph}, year={2023} }
Habernal, Ivan, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, and Christoph Burchard. “Mining Legal Arguments in Court Decisions.” Artificial Intelligence and Law, 2023.
I. Habernal et al., “Mining legal arguments in court decisions,” Artificial Intelligence and Law, 2023, doi: 10.1007/s10506-023-09361-y.
Habernal, Ivan, et al. “Mining Legal Arguments in Court Decisions.” Artificial Intelligence and Law, Springer Science and Business Media LLC, 2023, doi:10.1007/s10506-023-09361-y.


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