De-biased court's view generation with causality
Court's view generation is a novel but essential task for legal AI, aiming at improving the
interpretability of judgment prediction results and enabling automatic legal document …
interpretability of judgment prediction results and enabling automatic legal document …
Swiss-judgment-prediction: A multilingual legal judgment prediction benchmark
In many jurisdictions, the excessive workload of courts leads to high delays. Suitable
predictive AI models can assist legal professionals in their work, and thus enhance and …
predictive AI models can assist legal professionals in their work, and thus enhance and …
[PDF][PDF] Legal Judgment Prediction: A Survey of the State of the Art.
Automatic legal judgment prediction (LJP) has recently received increasing attention in the
natural language processing community in part because of its practical values as well as the …
natural language processing community in part because of its practical values as well as the …
Improving legal judgment prediction through reinforced criminal element extraction
Legal text mining is targeted at automatically analyzing the texts in the legal domain by
employing various natural language processing techniques and has attracted enormous …
employing various natural language processing techniques and has attracted enormous …
In-context learning with iterative demonstration selection
Spurred by advancements in scale, large language models (LLMs) have demonstrated
strong few-shot learning ability via in-context learning (ICL). However, the performance of …
strong few-shot learning ability via in-context learning (ICL). However, the performance of …
Charge-based prison term prediction with deep gating network
H Chen, D Cai, W Dai, Z Dai, Y Ding - arXiv preprint arXiv:1908.11521, 2019 - arxiv.org
Judgment prediction for legal cases has attracted much research efforts for its practice use,
of which the ultimate goal is prison term prediction. While existing work merely predicts the …
of which the ultimate goal is prison term prediction. While existing work merely predicts the …
Continual few-shot relation learning via embedding space regularization and data augmentation
Existing continual relation learning (CRL) methods rely on plenty of labeled training data for
learning a new task, which can be hard to acquire in real scenario as getting large and …
learning a new task, which can be hard to acquire in real scenario as getting large and …
Legal judgment prediction with multi-stage case representation learning in the real court setting
Legal judgment prediction (LJP) is an essential task for legal AI. While prior methods studied
on this topic in a pseudo setting by employing the judge-summarized case narrative as the …
on this topic in a pseudo setting by employing the judge-summarized case narrative as the …
Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code
A Tagarelli, A Simeri - Artificial Intelligence and Law, 2022 - Springer
Modeling law search and retrieval as prediction problems has recently emerged as a
predominant approach in law intelligence. Focusing on the law article retrieval task, we …
predominant approach in law intelligence. Focusing on the law article retrieval task, we …
Judgment prediction via injecting legal knowledge into neural networks
Abstract Legal Judgment Prediction (LJP) is a key problem in legal artificial intelligence,
which is aimed to predict a law case's judgment based on a given text describing the facts of …
which is aimed to predict a law case's judgment based on a given text describing the facts of …