Abstract
Fuelled by technical advances, the interest in Natural Language Processing in the legal domain has rapidly increased over the last months and years. The design, usage, and testing of domain-specific systems, but also assessing these systems from a legal perspective, needs competencies at the intersection of law and Natural Language Processing. While the demand for such competencies is high among students, only a few law schools, particularly in Europe, teach such competencies. In this paper, we present the design for a Natural Language Processing course for postgraduate law students that is based on the principle of constructive alignment and has proven to be successful over the last three years.- Anthology ID:
- 2024.teachingnlp-1.13
- Volume:
- Proceedings of the Sixth Workshop on Teaching NLP
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler
- Venues:
- TeachingNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 85–90
- Language:
- URL:
- https://aclanthology.org/2024.teachingnlp-1.13
- DOI:
- Cite (ACL):
- Daniel Braun. 2024. Teaching Natural Language Processing in Law School. In Proceedings of the Sixth Workshop on Teaching NLP, pages 85–90, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- Teaching Natural Language Processing in Law School (Braun, TeachingNLP-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.teachingnlp-1.13.pdf