Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language

Mohr Wenger, Tom Kalir, Noga Berger, Carmit Klar Chalamish, Renana Keydar, Gabriel Stanovsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present the task of Automated Punishment Extraction (APE) in sentencing decisions from criminal court cases in Hebrew. Addressing APE will enable the identification of sentencing patterns and constitute an important stepping stone for many follow up legal NLP applications in Hebrew, including the prediction of sentencing decisions. We curate a dataset of sexual assault sentencing decisions and a manuallyannotated evaluation dataset, and implement rulebased and supervised models. We find that while supervised models can identify the sentence containing the punishment with good accuracy, rulebased approaches outperform them on the full APE task. We conclude by presenting a first analysis of sentencing patterns in our dataset and analyze common models' errors, indicating avenues for future work, such as distinguishing between probation and actual imprisonment punishment. We will make all our resources available upon request, including data, annotation, and first benchmark models.

Original languageAmerican English
Title of host publicationNatural Legal Language Processing, NLLP 2021 - Proceedings of the 2021 Workshop
EditorsNikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Catalina Goanta, Daniel Preotiuc-Pietro
PublisherAssociation for Computational Linguistics (ACL)
Pages36-45
Number of pages10
ISBN (Electronic)9781954085985
StatePublished - 2021
Event3rd Natural Legal Language Processing, NLLP 2021 - Punta Cana, Dominican Republic
Duration: 10 Nov 2021 → …

Publication series

NameNatural Legal Language Processing, NLLP 2021 - Proceedings of the 2021 Workshop

Conference

Conference3rd Natural Legal Language Processing, NLLP 2021
Country/TerritoryDominican Republic
CityPunta Cana
Period10/11/21 → …

Bibliographical note

Publisher Copyright:
© 2021 Association for Computational Linguistics.

Fingerprint

Dive into the research topics of 'Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language'. Together they form a unique fingerprint.

Cite this