Go to ACL ARR 2025 February homepageJUDGEBERT: Assessing Legal Meaning Preservation Between Sentences
Abstract: Simplifying text while preserving its meaning is a complex yet essential task, especially in sensitive domain applications like legal texts. When applied to a specialized field, like the legal domain, preservation differs significantly from its role in regular texts. This paper introduces FrJUDGE, a new dataset to assess legal meaning preservation between two legal texts. It also introduces JUDGEBERT, a novel evaluation metric designed to assess legal meaning preservation in French legal text simplification. JUDGEBERT demonstrates a superior correlation with human judgment compared to existing metrics. It also passes two crucial sanity checks, while other metrics did not: For two identical sentences, it always returns a score of 100%; on the other hand, it returns 0% for two unrelated sentences. Our findings highlight its potential to transform legal NLP applications, ensuring accuracy and accessibility for text simplification for legal practitioners and lay users.
Paper Type: Long
Research Area: Resources and Evaluation
Research Area Keywords: Benchmarking, NLP datasets, legal acceptability judgments, legal NLP
Contribution Types: Data resources
Languages Studied: French
Submission Number: 33
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