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    <titleInfo>
        <title>Teaching Natural Language Processing in Law School</title>
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        <namePart type="given">Daniel</namePart>
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            <title>Proceedings of the Sixth Workshop on Teaching NLP</title>
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            <namePart type="given">Sana</namePart>
            <namePart type="family">Al-azzawi</namePart>
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        <name type="personal">
            <namePart type="given">Laura</namePart>
            <namePart type="family">Biester</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">György</namePart>
            <namePart type="family">Kovács</namePart>
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        <name type="personal">
            <namePart type="given">Ana</namePart>
            <namePart type="family">Marasović</namePart>
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            <namePart type="given">Leena</namePart>
            <namePart type="family">Mathur</namePart>
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        <name type="personal">
            <namePart type="given">Margot</namePart>
            <namePart type="family">Mieskes</namePart>
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        <name type="personal">
            <namePart type="given">Leonie</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Teaching Natural Language Processing in Law School
%A Braun, Daniel
%Y Al-azzawi, Sana
%Y Biester, Laura
%Y Kovács, György
%Y Marasović, Ana
%Y Mathur, Leena
%Y Mieskes, Margot
%Y Weissweiler, Leonie
%S Proceedings of the Sixth Workshop on Teaching NLP
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F braun-2024-teaching-natural
%X 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.
%U https://aclanthology.org/2024.teachingnlp-1.13
%P 85-90

Markdown (Informal)

[Teaching Natural Language Processing in Law School](https://aclanthology.org/2024.teachingnlp-1.13) (Braun, TeachingNLP-WS 2024)

• Teaching Natural Language Processing in Law School (Braun, TeachingNLP-WS 2024)

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.