A Decade of Legal Argumentation Mining: Datasets and Approaches-Reference-Cited by-同舟云学术

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A Decade of Legal Argumentation Mining: Datasets and Approaches

Published:2022 Issue: Volume: Page:240-252
ISSN:0302-9743
Container-title:Natural Language Processing and Information Systems
language:
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Author:

Zhang Gechuan^ORCID,Nulty Paul^ORCID,Lillis David^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08473-7_22

Reference37 articles.

1. Besnard, P., Hunter, A.: A logic-based theory of deductive arguments. Artif. Intell. 128(1–2), 203–235 (2001)

2. Bibal, A., Lognoul, M., de Streel, A., Frénay, B.: Legal requirements on explainability in machine learning. Artif. Intell. Law 29(2), 149–169 (2020). https://doi.org/10.1007/s10506-020-09270-4

3. Cabrio, E., Villata, S.: Five years of argument mining: a data-driven analysis. In: IJCAI, vol. 18, pp. 5427–5433 (2018)

4. Chalkidis, I., Androutsopoulos, I., Aletras, N.: Neural legal judgment prediction in English. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 4317–4323 (2019)

5. Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Measure. 20(1), 37–46 (1960)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Argument Mining with Graph Representation Learning;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19

2. Argumentation models and their use in corpus annotation: Practice, prospects, and challenges;Natural Language Engineering;2023-02-28

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