Cited by 420Artificial Intelligence in LawTopic ModelingMachine Learning in Healthcare

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Neural Legal Judgment Prediction in English

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Chalkidis, Ilias, Androutsopoulos, Ion, Aletras, Nikolaos·2019·Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

DOI 10.18653/v1/p19-1424

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Abstract

Legal judgment prediction is the task of automatically predicting the outcome of a court case, given a text describing the case's facts.Previous work on using neural models for this task has focused on Chinese; only featurebased models (e.g., using bags of words and topics) have been considered in English.We release a new English legal judgment prediction dataset, containing cases from the European Court of Human Rights.We evaluate a broad variety of neural models on the new dataset, establishing strong baselines that surpass previous feature-based models in three tasks: (1) binary violation classification; (2) multi-label classification; (3) case importance prediction.We also explore if models are biased towards demographic information via data anonymization.As a side-product, we propose a hierarchical version of BERT, which bypasses BERT's length limitation.

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Self-citation

Authors: Chalkidis, I., Androutsopoulos, I., & Aletras, N.
Affiliations: Athens University of Economics and Business (GR)
ORCID: Chalkidis, Ilias
Androutsopoulos, Ion
Venue: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Publisher: Association for Computational Linguistics
Published: 2019
Pages: 4317-4323
ISSN: 0736-587X (ISSN-L)
DOI: 10.18653/v1/p19-1424
OpenAlex: W2948586190
Cited by: 352
References: 26
Citations by year: 2026: 53 · 2025: 62 · 2024: 53 · 2023: 69 · 2022: 46 · 2021: 46 · 2020: 22 · 2019: 1
FWCI: 198.12
Type: conference paper
Language: en
Open access: hybrid
doi.org
Licence: cc-by
Locations: Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion, cc-by)
White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
arXiv (Cornell University) (submittedVersion)
arXiv (Cornell University)
Funders: Athens University of Economics and Business
Topics: Social Sciences › Law › Artificial Intelligence in Law
Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Keywords: legal judgment prediction, European Court of Human Rights, English legal texts, multi-label classification, demographic bias, data anonymization, neural language models

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Neural Legal Judgment Prediction in English

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