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Computer Science, Information Systems
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges
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Summary: This study provides a comprehensive review of legal judgment prediction (LJP), including analysis of datasets, evaluation metrics, pretrained models, and research directions. It aims to help NLP researchers and legal professionals understand the advancements in LJP and improve the performance of LJP models.
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Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code
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Summary: Modeling law search and retrieval as prediction problems is a predominant approach in law intelligence. LamBERTa, a deep learning framework designed for civil-law codes, specifically trained on the Italian civil code, shows superior effectiveness compared to widely used text classifiers and a few-shot learner.
ARTIFICIAL INTELLIGENCE AND LAW (2022)
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CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
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