A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
Contrastive learning for legal judgment prediction
Legal judgment prediction (LJP) is a fundamental task of legal artificial intelligence. It aims to
automatically predict the judgment results of legal cases. Three typical subtasks are relevant …
automatically predict the judgment results of legal cases. Three typical subtasks are relevant …
Fedlegal: The first real-world federated learning benchmark for legal nlp
Z Zhang, X Hu, J Zhang, Y Zhang… - Proceedings of the …, 2023 - aclanthology.org
The inevitable private information in legal data necessitates legal artificial intelligence to
study privacy-preserving and decentralized learning methods. Federated learning (FL) has …
study privacy-preserving and decentralized learning methods. Federated learning (FL) has …
Efficient prediction of court judgments using an LSTM+ CNN neural network model with an optimal feature set
As the amount of historical data available in the legal arena has grown over time, industry
specialists are driven to gather, compile, and analyze this data in order to forecast court case …
specialists are driven to gather, compile, and analyze this data in order to forecast court case …
A multi-task benchmark for korean legal language understanding and judgement prediction
The recent advances of deep learning have dramatically changed how machine learning,
especially in the domain of natural language processing, can be applied to legal domain …
especially in the domain of natural language processing, can be applied to legal domain …
Towards interactivity and interpretability: A rationale-based legal judgment prediction framework
Legal judgment prediction (LJP) is a fundamental task in legal AI, which aims to assist the
judge to hear the case and determine the judgment. The legal judgment usually consists of …
judge to hear the case and determine the judgment. The legal judgment usually consists of …
A hybrid CNN+ BILSTM deep learning-based DSS for efficient prediction of judicial case decisions
S Ahmad, MZ Asghar, FM Alotaibi… - Expert Systems with …, 2022 - Elsevier
A gradual increase in the historical data available in the legal domain over the years has
compelled industry experts to collect, assemble, and analyze this data to predict judicial …
compelled industry experts to collect, assemble, and analyze this data to predict judicial …
Deconfounding legal judgment prediction for European court of human rights cases towards better alignment with experts
This work demonstrates that Legal Judgement Prediction systems without expert-informed
adjustments can be vulnerable to shallow, distracting surface signals that arise from corpus …
adjustments can be vulnerable to shallow, distracting surface signals that arise from corpus …
LAiW: A Chinese legal large language models benchmark (a technical report)
With the emergence of numerous legal LLMs, there is currently a lack of a comprehensive
benchmark for evaluating their legal abilities. In this paper, we propose the first Chinese …
benchmark for evaluating their legal abilities. In this paper, we propose the first Chinese …
ClassActionPrediction: A challenging benchmark for legal judgment prediction of class action cases in the US
The research field of Legal Natural Language Processing (NLP) has been very active
recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively …
recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively …