Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text

Hsuan Lei Shao; Wei Hsin Wang; Sieh Chuen Huang

doi:10.3233/FAIA241280

Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text

Hsuan Lei Shao^*, Wei Hsin Wang, Sieh Chuen Huang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Legal Knowledge and Information Systems - JURIX 2024
Subtitle of host publication	37th Annual Conference
Editors	Jaromir Savelka, Jakub Harasta, Tereza Novotna, Jakub Misek
Publisher	IOS Press BV
Pages	393-394
Number of pages	2
ISBN (Electronic)	9781643685625
DOIs	https://doi.org/10.3233/FAIA241280
Publication status	Published - 2024
Externally published	Yes
Event	37th Annual Conference on Legal Knowledge and Information Systems, JURIX 2024 - Brno, Czech Republic Duration: 2024 Dec 11 → 2024 Dec 13

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	395
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	37th Annual Conference on Legal Knowledge and Information Systems, JURIX 2024
Country/Territory	Czech Republic
City	Brno
Period	2024/12/11 → 2024/12/13

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/FAIA241280

Cite this

Shao, H. L., Wang, W. H., & Huang, S. C. (2024). Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems - JURIX 2024: 37th Annual Conference (pp. 393-394). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press BV. https://doi.org/10.3233/FAIA241280

Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text. / Shao, Hsuan Lei; Wang, Wei Hsin; Huang, Sieh Chuen.
Legal Knowledge and Information Systems - JURIX 2024: 37th Annual Conference. ed. / Jaromir Savelka; Jakub Harasta; Tereza Novotna; Jakub Misek. IOS Press BV, 2024. p. 393-394 (Frontiers in Artificial Intelligence and Applications; Vol. 395).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shao, HL, Wang, WH & Huang, SC 2024, Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text. in J Savelka, J Harasta, T Novotna & J Misek (eds), Legal Knowledge and Information Systems - JURIX 2024: 37th Annual Conference. Frontiers in Artificial Intelligence and Applications, vol. 395, IOS Press BV, pp. 393-394, 37th Annual Conference on Legal Knowledge and Information Systems, JURIX 2024, Brno, Czech Republic, 2024/12/11. https://doi.org/10.3233/FAIA241280

Shao, Hsuan Lei ; Wang, Wei Hsin ; Huang, Sieh Chuen. / Explainable AI for Real Legal Judgments : Sentencing Model and Salience Maps for Text. Legal Knowledge and Information Systems - JURIX 2024: 37th Annual Conference. editor / Jaromir Savelka ; Jakub Harasta ; Tereza Novotna ; Jakub Misek. IOS Press BV, 2024. pp. 393-394 (Frontiers in Artificial Intelligence and Applications).

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author = "Shao, {Hsuan Lei} and Wang, {Wei Hsin} and Huang, {Sieh Chuen}",

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Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text

Publication series

Conference

ASJC Scopus subject areas

Access to Document

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Cite this